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Annette Markham | Utrecht University - Academia.edu
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src="https://0.academia-photos.com/257303/97546/12189949/s200_annette.markham.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Annette Markham</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uu.academia.edu/">Utrecht University</a>, <a class="u-tcGrayDarker" href="https://uu.academia.edu/Departments/Media_and_Culture_Studies/Documents">Media and Culture Studies</a>, <span class="u-tcGrayDarker">Faculty Member</span></div><div><a class="u-tcGrayDarker" href="https://au.academia.edu/">Aarhus University</a>, <a class="u-tcGrayDarker" href="https://au.academia.edu/Departments/Dept_of_Digital_Design_and_Information_Studies/Documents">Dept. of Digital Design and Information Studies</a>, <span class="u-tcGrayDarker">Faculty Member</span></div><div><a class="u-tcGrayDarker" href="https://rmit.academia.edu/">RMIT University</a>, <a class="u-tcGrayDarker" href="https://rmit.academia.edu/Departments/Digital_Ethnography_Research_Centre_DERC_College_of_Design_and_Social_Context/Documents">Digital Ethnography Research Centre, DERC, College of Design and Social Context</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Annette" data-follow-user-id="257303" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="257303"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">1,246</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">69</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">11</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">I'm a digital culture researcher, which means I do projects and write about contemporary digital technologies and their social impact. I have background in organizational theory, communication studies, interpretive research methods, chicago school ethnographic methods. I write about datafication and algorithmic identity, lived experience in digitally saturated social contexts, human-machine communication and relations, research methodologies, digital and data ethics, and critical pedagogy. Currently, I am Chair Professor of Future Literacies and Public Engagement at Utrecht University. I still hold an affiliate professor position of Information Studies at Aarhus University in Denmark. I'm also an Affiliate Professor of Digital Ethics at Loyola University in Chicago, honorary adjunct professor of Media and Communication at RMIT in Melbourne and former Director of the Digital Ethnography Research Center.<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="257303">View All (8)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="257303" href="https://www.academia.edu/Documents/in/Social_Media"><div id="js-react-on-rails-context" style="display:none" 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data-trace="false" data-dom-id="Pill-react-component-6b5c9512-030a-4e22-a9ca-421f32731084"></div> <div id="Pill-react-component-6b5c9512-030a-4e22-a9ca-421f32731084"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="257303" href="https://www.academia.edu/Documents/in/Critical_Media_Studies"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Critical Media Studies"]}" data-trace="false" data-dom-id="Pill-react-component-3b8ceda8-affb-44d7-8988-3e0222f6acff"></div> <div id="Pill-react-component-3b8ceda8-affb-44d7-8988-3e0222f6acff"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="257303" href="https://www.academia.edu/Documents/in/Interpretive_research_methodology"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Interpretive research methodology"]}" data-trace="false" data-dom-id="Pill-react-component-87386f8d-455b-49b1-b181-b4fff5c77d67"></div> <div id="Pill-react-component-87386f8d-455b-49b1-b181-b4fff5c77d67"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="257303" href="https://www.academia.edu/Documents/in/Research_Ethics"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Research Ethics"]}" data-trace="false" data-dom-id="Pill-react-component-edc32f2a-9889-4bf5-81de-7e7e01329ff7"></div> <div id="Pill-react-component-edc32f2a-9889-4bf5-81de-7e7e01329ff7"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers,-published-or-unpublished" data-toggle="tab" href="#paperspublishedorunpublished" role="tab" title="Papers, published or unpublished"><span>55</span> <span class="ds2-5-body-sm-bold">Papers, published or unpublished</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Books" data-toggle="tab" href="#books" role="tab" title="Books"><span>2</span> <span class="ds2-5-body-sm-bold">Books</span></a></li><li class="nav-chip more-tab" role="presentation"><a class="js-profile-documents-more-tab link-unstyled u-textTruncate" data-toggle="dropdown" role="tab">More <i class="fa fa-chevron-down"></i></a><ul class="js-profile-documents-more-dropdown dropdown-menu dropdown-menu-right profile-documents-more-dropdown" role="menu"><li role="presentation"><a data-click-track="profile-works-tab" data-section-name="Thesis-and-Dissertation" data-toggle="tab" href="#thesisanddissertation" role="tab" style="border: none;"><span>2</span> Thesis and Dissertation</a></li><li role="presentation"><a data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" style="border: none;"><span>6</span> Papers</a></li><li role="presentation"><a data-click-track="profile-works-tab" data-section-name="Conference-Presentations" data-toggle="tab" href="#conferencepresentations" role="tab" style="border: none;"><span>1</span> Conference Presentations</a></li></ul></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers, published or unpublished" id="Papers, published or unpublished"><h3 class="profile--tab_heading_container">Papers, published or unpublished by Annette Markham</h3></div><div class="js-work-strip profile--work_container" data-work-id="119951183"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119951183/Taking_Data_Literacy_to_the_Streets_Critical_Pedagogy_in_the_Public_Sphere"><img alt="Research paper thumbnail of Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere" class="work-thumbnail" src="https://attachments.academia-assets.com/115250814/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119951183/Taking_Data_Literacy_to_the_Streets_Critical_Pedagogy_in_the_Public_Sphere">Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere</a></div><div class="wp-workCard_item"><span>Qualitative Inquiry</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article describes an ongoing series of public arts-based experiments that build critical cur...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article describes an ongoing series of public arts-based experiments that build critical curiosity and develop data literacy via self-reflexive public interventions. Examined through the lens of remix methodology the Museum of Random Memory exemplifies a form of collective-reflexive meta-analysis whereby interdisciplinary researchers generate immediate social change and build better questions for future public engagement. The experiments help people critically analyze their own social lives and well being in cultural environments of growing datafication and automated (artificial intelligence [AI]-driven) decision-making. Reflexivity, bricolage, and critical pedagogy are emphasized as approaches for responding to changing needs in the public sphere that also build more robust interdisciplinary academic teams.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eea2de158479cd6ac253d58ef8a38e29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115250814,"asset_id":119951183,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115250814/download_file?st=MTczMjQzODk0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119951183"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119951183"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119951183; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119951183]").text(description); $(".js-view-count[data-work-id=119951183]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119951183; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119951183']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119951183, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "eea2de158479cd6ac253d58ef8a38e29" } } $('.js-work-strip[data-work-id=119951183]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119951183,"title":"Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere","translated_title":"","metadata":{"doi":"10.1177/1077800419859024","abstract":"This article describes an ongoing series of public arts-based experiments that build critical curiosity and develop data literacy via self-reflexive public interventions. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="37132195"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/37132195/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction"><img alt="Research paper thumbnail of Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction" class="work-thumbnail" src="https://attachments.academia-assets.com/57082954/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/37132195/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction">Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://uu.academia.edu/AnnetteMarkham">Annette Markham</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://tallinn.academia.edu/KatrinTiidenberg">Katrin Tiidenberg</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Bi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is<br />removed from the process of analysis. This situates data science as a process of analysis performed by the tool, which obscures<br />human decisions in the process. The scholars involved in this Special Issue problematize the assumptions and trends in big data research and point out the crisis in accountability that emerges from using such data to make societal interventions. Our collaborators offer a range of answers to the question of how to configure ethics through a methodological framework in the context of the prevalence of big data, neural networks, and automated, algorithmic governance of much of human socia(bi)lity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="32d97bbcdb285860f258685247850f1b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":57082954,"asset_id":37132195,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/57082954/download_file?st=MTczMjQzODk0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="37132195"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="37132195"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37132195; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37132195]").text(description); $(".js-view-count[data-work-id=37132195]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37132195; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='37132195']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 37132195, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "32d97bbcdb285860f258685247850f1b" } } $('.js-work-strip[data-work-id=37132195]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":37132195,"title":"Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction","translated_title":"","metadata":{"abstract":"This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. 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When the tools are separated from the disciplinary parameters for which they were developed (primarily Social Network Analysis, or SNA), a network sensibility offers a beguiling method for extending certain approaches, such as grounded theory, symbolic interactionism, or ethnography, and specifying other approaches, such as actor network theory or practice theory. In this essay, we make a case for embracing and critically developing network sensibilities as a way to grapple with the complexity of contemporary social media interactions. Our discussion, mostly focused at the level of method, is intended to contribute to ongoing conversations stressing the need to build conceptual and methodological frameworks that resonate more closely with the complexity of networked, technologically-mediated social contexts. To begin, we clarify the distinction between network analysis and network sensibility. 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It moves beyond the level of data cr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Critical pedagogy is a vital part of building data literacy. It moves beyond the level of data critique to social action in response to datafication. This article contends that academics can do more to teach those in the public sphere as well as classroom to become critical interpretive researchers of their own lived experience, an action/participatory research framework that identifies critical thinking as the purpose of research and improved digital or data literacy as the outcome of research. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="54919127"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/54919127/Prompts_for_Making_Sense_of_a_Pandemic_The_21_Day_Autoethnography_Challenge"><img alt="Research paper thumbnail of Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge" class="work-thumbnail" src="https://attachments.academia-assets.com/71044995/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/54919127/Prompts_for_Making_Sense_of_a_Pandemic_The_21_Day_Autoethnography_Challenge">Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge</a></div><div class="wp-workCard_item"><span>Qualitative Inquiry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The idea of doing a self-guided series of prompts for a largescale project in the midst of a glob...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The idea of doing a self-guided series of prompts for a largescale project in the midst of a global pandemic emerged as a solution to the twin problems of distance and distraction. The goal of a “21-day autoethnography challenge” set of self-guided prompts was to build embodied sensibilities toward the material we study, practice autoethnographic forms of writing and analysis, and transform personal experiences through this COVID-19 moment into critical understanding of scale, sensemaking, and relationality of humans, nonhumans, and the planet. This article showcases the prompts to illustrate the method and flexible adaptation required for the project.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="84413e593ccae0bd1762e939f2a9b1e5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":71044995,"asset_id":54919127,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/71044995/download_file?st=MTczMjQzODk0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="54919127"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="54919127"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 54919127; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=54919127]").text(description); $(".js-view-count[data-work-id=54919127]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 54919127; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='54919127']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 54919127, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "84413e593ccae0bd1762e939f2a9b1e5" } } $('.js-work-strip[data-work-id=54919127]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":54919127,"title":"Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge","translated_title":"","metadata":{"abstract":"The idea of doing a self-guided series of prompts for a largescale project in the midst of a global pandemic emerged as a solution to the twin problems of distance and distraction. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="54919128"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/54919128/Remix_Cultures_Remix_Methods"><img alt="Research paper thumbnail of Remix Cultures, Remix Methods" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/54919128/Remix_Cultures_Remix_Methods">Remix Cultures, Remix Methods</a></div><div class="wp-workCard_item"><span>Global Dimensions of Qualitative Inquiry</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="54919128"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="54919128"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 54919128; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116928117"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116928117/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction"><img alt="Research paper thumbnail of Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction" class="work-thumbnail" src="https://attachments.academia-assets.com/112921792/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116928117/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction">Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction</a></div><div class="wp-workCard_item"><span>Social Media + Society</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Bi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is removed from the process of analysis. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116928083"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116928083/Afterword_Ethics_as_Impact_Moving_From_Error_Avoidance_and_Concept_Driven_Models_to_a_Future_Oriented_Approach"><img alt="Research paper thumbnail of Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/112921760/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116928083/Afterword_Ethics_as_Impact_Moving_From_Error_Avoidance_and_Concept_Driven_Models_to_a_Future_Oriented_Approach">Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach</a></div><div class="wp-workCard_item"><span>Social Media + Society</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed, this article walks the reader through three models that can help social researchers, technologists, and designers identify and reflect on how they’re approaching ethics, or “doing the right thing” in their own work. The first, an error-avoidance model, has traditionally focused on creating frameworks to help researchers avoid repeating historical ethical violations. The second concept-driven model focuses on refining the concepts that undergird core ethical frameworks. Both are dominant in human-focused research and tend to be highly proceduralized, implemented a priori or from the top down as part of largescale regulatory structures. In both of these models, the agency of the researcher is removed or dismissed as less relevant than the agency of the system. The article draws on recent controversies around data collection and corporate experimentation on social media users as well as tw...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a799e9002be67ef3cf223635988e063" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112921760,"asset_id":116928083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112921760/download_file?st=MTczMjQzODk0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928083; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928083]").text(description); $(".js-view-count[data-work-id=116928083]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928083; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928083']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928083, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a799e9002be67ef3cf223635988e063" } } $('.js-work-strip[data-work-id=116928083]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928083,"title":"Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach","translated_title":"","metadata":{"abstract":"Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed, this article walks the reader through three models that can help social researchers, technologists, and designers identify and reflect on how they’re approaching ethics, or “doing the right thing” in their own work. 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href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? Based on discourse analysis of approximately 500 pages of written data and 390 minutes of video (generated by 50 college students aged 18-30 between 2014-2016) this article explores how young people negotiate their own experience and existing discourses about social media. Our analysis shows that young people rely heavily on canonic binaries from utopian and dystopian interpretations of networked technologies to apply labels to themselves, others, and social media in general. As they are prompted to reflect on their experience, their rhetoric about social media use and its implications becomes more nuanced yet remains inherently contradictory. This reflects a dialectical struggle to make sense of their lived experiences and feelings. Our unique methodology for generating deeply self-reflexive, auto-ethnographic narrative accounts suggests a way for scholars to be able to understand the ongoing struggles for meaning that occur within the granularity of everyday reflections about our own social media use.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928118"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928118]").text(description); $(".js-view-count[data-work-id=116928118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928118']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928118, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116928118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928118,"title":"I'm an Addict\" and Other Sensemaking Devices","translated_title":"","metadata":{"abstract":"How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? 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There’s absolutely no distinction for me be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Setting the Mood Weirdly, everything feels the same. There’s absolutely no distinction for me between news, work, walking, gaming, Netflix, rock collecting, scrolling, messaging. I don’t know how this happened, but everything has simply blurred together. There’s a dreadful and yet soothing sameness to it, scrolling through images on Instagram, scrolling Netflix, walking the dog, scrolling the news, time scrolling by as I watch face after face appear or disappear on my screen, all saying something, yet saying nothing. Is this the rhythm of crisis in a slow apocalypse? Really, would it be possible for humans to just bore themselves into oblivion? Because in the middle of a pandemic, boredom feels in my body the same as doom ... just another swell that passes, like my chest as it rises and falls with my breath. This opening anecdote comes from combining narratives in two studies we conducted online during the COVID-19 pandemic in 2020: a global study, Massive and Microscopic Sensemaki...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928121"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928121"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928121; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928121]").text(description); $(".js-view-count[data-work-id=116928121]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928121; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928121']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928121, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116928121]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928121,"title":"Embracing Liminality and \"Staying with the Trouble\" on (and off) Screen","translated_title":"","metadata":{"abstract":"Setting the Mood Weirdly, everything feels the same. 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Because in the middle of a pandemic, boredom feels in my body the same as doom ... just another swell that passes, like my chest as it rises and falls with my breath. 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(galley proof copy)" class="work-thumbnail" src="https://attachments.academia-assets.com/65871550/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/45329508/Fieldwork_in_Social_Media_What_Would_Malinowski_Do_galley_proof_copy_">Fieldwork in Social Media: What Would Malinowski Do? (galley proof copy)</a></div><div class="wp-workCard_item"><span>Qualitative Communication Research</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Pre-publication proof copy. Feldwork is the foundation of robust ethnographic inquiry in physic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Pre-publication proof copy. <br /><br />Feldwork is the foundation of robust ethnographic inquiry in physical settings, but the practical methods have never fit well in digital contexts. Often, online ethnographers must radically adjust or rethink activities of fieldwork, to the point where they may hardly resemble "fieldwork" anymore.This essay discusses the persistent challenges of transferring fieldwork methods intended for physically situated contexts to digitally-mediated social contexts. I offer provocations for considering the premises rather than the procedures of field-work. These may not be seen on the surface level of method but operate at a level below method, or in everyday inquiry as practice. Reverse engineering classic fieldwork tools can help reveal the reasons they were invented in the first place. Then, one can search for tools that fulfill these premises but utilize different practical techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fefbda59dcafb7b5ceca8b64467f694b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65871550,"asset_id":45329508,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65871550/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45329508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45329508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45329508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45329508]").text(description); $(".js-view-count[data-work-id=45329508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45329508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45329508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45329508, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fefbda59dcafb7b5ceca8b64467f694b" } } $('.js-work-strip[data-work-id=45329508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45329508,"title":"Fieldwork in Social Media: What Would Malinowski Do? 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="44577011"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/44577011/The_Ontological_Insecurity_of_Disconnecting_A_Theory_of_Echolocation_and_the_Self"><img alt="Research paper thumbnail of The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self" class="work-thumbnail" src="https://attachments.academia-assets.com/65034140/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/44577011/The_Ontological_Insecurity_of_Disconnecting_A_Theory_of_Echolocation_and_the_Self">The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To see an official published version: Markham, A. N. (2022). The ontological insecurity of discon...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman & Littlefield. <br /> <br /> <br />This draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. At the micro-interactional level, we can see this constant radar pinging to find the self. The theory of sociality presented in this draft work is part of a forthcoming book on the topic. It emerges from six years of ethnographic and phenomenological study of around 1,500 youth regarding their everyday digital media.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="00c49a906910eb1a794f33ef3f48aaef" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65034140,"asset_id":44577011,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65034140/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="44577011"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="44577011"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44577011; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44577011]").text(description); $(".js-view-count[data-work-id=44577011]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44577011; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='44577011']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 44577011, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "00c49a906910eb1a794f33ef3f48aaef" } } $('.js-work-strip[data-work-id=44577011]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":44577011,"title":"The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self","translated_title":"","metadata":{"abstract":"To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman \u0026 Littlefield.\r\n\r\n\r\nThis draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. At the micro-interactional level, we can see this constant radar pinging to find the self. The theory of sociality presented in this draft work is part of a forthcoming book on the topic. It emerges from six years of ethnographic and phenomenological study of around 1,500 youth regarding their everyday digital media."},"translated_abstract":"To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman \u0026 Littlefield.\r\n\r\n\r\nThis draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. At the micro-interactional level, we can see this constant radar pinging to find the self. The theory of sociality presented in this draft work is part of a forthcoming book on the topic. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="98343" id="paperspublishedorunpublished"><div class="js-work-strip profile--work_container" data-work-id="119951183"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119951183/Taking_Data_Literacy_to_the_Streets_Critical_Pedagogy_in_the_Public_Sphere"><img alt="Research paper thumbnail of Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere" class="work-thumbnail" src="https://attachments.academia-assets.com/115250814/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119951183/Taking_Data_Literacy_to_the_Streets_Critical_Pedagogy_in_the_Public_Sphere">Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere</a></div><div class="wp-workCard_item"><span>Qualitative Inquiry</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article describes an ongoing series of public arts-based experiments that build critical cur...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article describes an ongoing series of public arts-based experiments that build critical curiosity and develop data literacy via self-reflexive public interventions. Examined through the lens of remix methodology the Museum of Random Memory exemplifies a form of collective-reflexive meta-analysis whereby interdisciplinary researchers generate immediate social change and build better questions for future public engagement. The experiments help people critically analyze their own social lives and well being in cultural environments of growing datafication and automated (artificial intelligence [AI]-driven) decision-making. Reflexivity, bricolage, and critical pedagogy are emphasized as approaches for responding to changing needs in the public sphere that also build more robust interdisciplinary academic teams.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eea2de158479cd6ac253d58ef8a38e29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115250814,"asset_id":119951183,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115250814/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119951183"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119951183"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119951183; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119951183]").text(description); $(".js-view-count[data-work-id=119951183]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119951183; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119951183']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119951183, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "eea2de158479cd6ac253d58ef8a38e29" } } $('.js-work-strip[data-work-id=119951183]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119951183,"title":"Taking Data Literacy to the Streets: Critical Pedagogy in the Public Sphere","translated_title":"","metadata":{"doi":"10.1177/1077800419859024","abstract":"This article describes an ongoing series of public arts-based experiments that build critical curiosity and develop data literacy via self-reflexive public interventions. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="37132195"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/37132195/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction"><img alt="Research paper thumbnail of Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction" class="work-thumbnail" src="https://attachments.academia-assets.com/57082954/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/37132195/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction">Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://uu.academia.edu/AnnetteMarkham">Annette Markham</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://tallinn.academia.edu/KatrinTiidenberg">Katrin Tiidenberg</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Bi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is<br />removed from the process of analysis. This situates data science as a process of analysis performed by the tool, which obscures<br />human decisions in the process. The scholars involved in this Special Issue problematize the assumptions and trends in big data research and point out the crisis in accountability that emerges from using such data to make societal interventions. Our collaborators offer a range of answers to the question of how to configure ethics through a methodological framework in the context of the prevalence of big data, neural networks, and automated, algorithmic governance of much of human socia(bi)lity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="32d97bbcdb285860f258685247850f1b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":57082954,"asset_id":37132195,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/57082954/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="37132195"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="37132195"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 37132195; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=37132195]").text(description); $(".js-view-count[data-work-id=37132195]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 37132195; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='37132195']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 37132195, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "32d97bbcdb285860f258685247850f1b" } } $('.js-work-strip[data-work-id=37132195]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":37132195,"title":"Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction","translated_title":"","metadata":{"abstract":"This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. 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When the tools are separated from the disciplinary parameters for which they were developed (primarily Social Network Analysis, or SNA), a network sensibility offers a beguiling method for extending certain approaches, such as grounded theory, symbolic interactionism, or ethnography, and specifying other approaches, such as actor network theory or practice theory. In this essay, we make a case for embracing and critically developing network sensibilities as a way to grapple with the complexity of contemporary social media interactions. Our discussion, mostly focused at the level of method, is intended to contribute to ongoing conversations stressing the need to build conceptual and methodological frameworks that resonate more closely with the complexity of networked, technologically-mediated social contexts. To begin, we clarify the distinction between network analysis and network sensibility. 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It moves beyond the level of data cr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Critical pedagogy is a vital part of building data literacy. It moves beyond the level of data critique to social action in response to datafication. This article contends that academics can do more to teach those in the public sphere as well as classroom to become critical interpretive researchers of their own lived experience, an action/participatory research framework that identifies critical thinking as the purpose of research and improved digital or data literacy as the outcome of research. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="54919127"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/54919127/Prompts_for_Making_Sense_of_a_Pandemic_The_21_Day_Autoethnography_Challenge"><img alt="Research paper thumbnail of Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge" class="work-thumbnail" src="https://attachments.academia-assets.com/71044995/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/54919127/Prompts_for_Making_Sense_of_a_Pandemic_The_21_Day_Autoethnography_Challenge">Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge</a></div><div class="wp-workCard_item"><span>Qualitative Inquiry</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The idea of doing a self-guided series of prompts for a largescale project in the midst of a glob...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The idea of doing a self-guided series of prompts for a largescale project in the midst of a global pandemic emerged as a solution to the twin problems of distance and distraction. The goal of a “21-day autoethnography challenge” set of self-guided prompts was to build embodied sensibilities toward the material we study, practice autoethnographic forms of writing and analysis, and transform personal experiences through this COVID-19 moment into critical understanding of scale, sensemaking, and relationality of humans, nonhumans, and the planet. This article showcases the prompts to illustrate the method and flexible adaptation required for the project.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="84413e593ccae0bd1762e939f2a9b1e5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":71044995,"asset_id":54919127,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/71044995/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&st=MTczMjQzODk0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="54919127"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="54919127"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 54919127; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=54919127]").text(description); $(".js-view-count[data-work-id=54919127]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 54919127; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='54919127']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 54919127, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "84413e593ccae0bd1762e939f2a9b1e5" } } $('.js-work-strip[data-work-id=54919127]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":54919127,"title":"Prompts for Making Sense of a Pandemic: The 21-Day Autoethnography Challenge","translated_title":"","metadata":{"abstract":"The idea of doing a self-guided series of prompts for a largescale project in the midst of a global pandemic emerged as a solution to the twin problems of distance and distraction. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="54919128"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/54919128/Remix_Cultures_Remix_Methods"><img alt="Research paper thumbnail of Remix Cultures, Remix Methods" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/54919128/Remix_Cultures_Remix_Methods">Remix Cultures, Remix Methods</a></div><div class="wp-workCard_item"><span>Global Dimensions of Qualitative Inquiry</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="54919128"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="54919128"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 54919128; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=54919128]").text(description); $(".js-view-count[data-work-id=54919128]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 54919128; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='54919128']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 54919128, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116928117"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116928117/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction"><img alt="Research paper thumbnail of Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction" class="work-thumbnail" src="https://attachments.academia-assets.com/112921792/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116928117/Ethics_as_Methods_Doing_Ethics_in_the_Era_of_Big_Data_Research_Introduction">Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction</a></div><div class="wp-workCard_item"><span>Social Media + Society</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Bi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is removed from the process of analysis. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116928083"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116928083/Afterword_Ethics_as_Impact_Moving_From_Error_Avoidance_and_Concept_Driven_Models_to_a_Future_Oriented_Approach"><img alt="Research paper thumbnail of Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/112921760/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116928083/Afterword_Ethics_as_Impact_Moving_From_Error_Avoidance_and_Concept_Driven_Models_to_a_Future_Oriented_Approach">Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach</a></div><div class="wp-workCard_item"><span>Social Media + Society</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed, this article walks the reader through three models that can help social researchers, technologists, and designers identify and reflect on how they’re approaching ethics, or “doing the right thing” in their own work. The first, an error-avoidance model, has traditionally focused on creating frameworks to help researchers avoid repeating historical ethical violations. The second concept-driven model focuses on refining the concepts that undergird core ethical frameworks. Both are dominant in human-focused research and tend to be highly proceduralized, implemented a priori or from the top down as part of largescale regulatory structures. In both of these models, the agency of the researcher is removed or dismissed as less relevant than the agency of the system. The article draws on recent controversies around data collection and corporate experimentation on social media users as well as tw...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5a799e9002be67ef3cf223635988e063" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112921760,"asset_id":116928083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112921760/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928083; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928083]").text(description); $(".js-view-count[data-work-id=116928083]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928083; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928083']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928083, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5a799e9002be67ef3cf223635988e063" } } $('.js-work-strip[data-work-id=116928083]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928083,"title":"Afterword: Ethics as Impact—Moving From Error-Avoidance and Concept-Driven Models to a Future-Oriented Approach","translated_title":"","metadata":{"abstract":"Beginning with the premise that most regulatory guidelines for research ethics are deeply flawed, this article walks the reader through three models that can help social researchers, technologists, and designers identify and reflect on how they’re approaching ethics, or “doing the right thing” in their own work. 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href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? Based on discourse analysis of approximately 500 pages of written data and 390 minutes of video (generated by 50 college students aged 18-30 between 2014-2016) this article explores how young people negotiate their own experience and existing discourses about social media. Our analysis shows that young people rely heavily on canonic binaries from utopian and dystopian interpretations of networked technologies to apply labels to themselves, others, and social media in general. As they are prompted to reflect on their experience, their rhetoric about social media use and its implications becomes more nuanced yet remains inherently contradictory. This reflects a dialectical struggle to make sense of their lived experiences and feelings. Our unique methodology for generating deeply self-reflexive, auto-ethnographic narrative accounts suggests a way for scholars to be able to understand the ongoing struggles for meaning that occur within the granularity of everyday reflections about our own social media use.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928118"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928118]").text(description); $(".js-view-count[data-work-id=116928118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928118']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928118, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116928118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928118,"title":"I'm an Addict\" and Other Sensemaking Devices","translated_title":"","metadata":{"abstract":"How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? 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There’s absolutely no distinction for me be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Setting the Mood Weirdly, everything feels the same. There’s absolutely no distinction for me between news, work, walking, gaming, Netflix, rock collecting, scrolling, messaging. I don’t know how this happened, but everything has simply blurred together. There’s a dreadful and yet soothing sameness to it, scrolling through images on Instagram, scrolling Netflix, walking the dog, scrolling the news, time scrolling by as I watch face after face appear or disappear on my screen, all saying something, yet saying nothing. Is this the rhythm of crisis in a slow apocalypse? Really, would it be possible for humans to just bore themselves into oblivion? Because in the middle of a pandemic, boredom feels in my body the same as doom ... just another swell that passes, like my chest as it rises and falls with my breath. This opening anecdote comes from combining narratives in two studies we conducted online during the COVID-19 pandemic in 2020: a global study, Massive and Microscopic Sensemaki...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928121"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928121"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928121; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928121]").text(description); $(".js-view-count[data-work-id=116928121]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928121; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928121']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928121, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116928121]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928121,"title":"Embracing Liminality and \"Staying with the Trouble\" on (and off) Screen","translated_title":"","metadata":{"abstract":"Setting the Mood Weirdly, everything feels the same. 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Because in the middle of a pandemic, boredom feels in my body the same as doom ... just another swell that passes, like my chest as it rises and falls with my breath. 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(galley proof copy)" class="work-thumbnail" src="https://attachments.academia-assets.com/65871550/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/45329508/Fieldwork_in_Social_Media_What_Would_Malinowski_Do_galley_proof_copy_">Fieldwork in Social Media: What Would Malinowski Do? (galley proof copy)</a></div><div class="wp-workCard_item"><span>Qualitative Communication Research</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Pre-publication proof copy. Feldwork is the foundation of robust ethnographic inquiry in physic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Pre-publication proof copy. <br /><br />Feldwork is the foundation of robust ethnographic inquiry in physical settings, but the practical methods have never fit well in digital contexts. Often, online ethnographers must radically adjust or rethink activities of fieldwork, to the point where they may hardly resemble "fieldwork" anymore.This essay discusses the persistent challenges of transferring fieldwork methods intended for physically situated contexts to digitally-mediated social contexts. I offer provocations for considering the premises rather than the procedures of field-work. These may not be seen on the surface level of method but operate at a level below method, or in everyday inquiry as practice. Reverse engineering classic fieldwork tools can help reveal the reasons they were invented in the first place. Then, one can search for tools that fulfill these premises but utilize different practical techniques.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fefbda59dcafb7b5ceca8b64467f694b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65871550,"asset_id":45329508,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65871550/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="45329508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="45329508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 45329508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=45329508]").text(description); $(".js-view-count[data-work-id=45329508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 45329508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='45329508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 45329508, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fefbda59dcafb7b5ceca8b64467f694b" } } $('.js-work-strip[data-work-id=45329508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":45329508,"title":"Fieldwork in Social Media: What Would Malinowski Do? 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="44577011"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/44577011/The_Ontological_Insecurity_of_Disconnecting_A_Theory_of_Echolocation_and_the_Self"><img alt="Research paper thumbnail of The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self" class="work-thumbnail" src="https://attachments.academia-assets.com/65034140/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/44577011/The_Ontological_Insecurity_of_Disconnecting_A_Theory_of_Echolocation_and_the_Self">The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To see an official published version: Markham, A. N. (2022). The ontological insecurity of discon...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman & Littlefield. <br /> <br /> <br />This draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. At the micro-interactional level, we can see this constant radar pinging to find the self. The theory of sociality presented in this draft work is part of a forthcoming book on the topic. It emerges from six years of ethnographic and phenomenological study of around 1,500 youth regarding their everyday digital media.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="00c49a906910eb1a794f33ef3f48aaef" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":65034140,"asset_id":44577011,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/65034140/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="44577011"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="44577011"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 44577011; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=44577011]").text(description); $(".js-view-count[data-work-id=44577011]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 44577011; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='44577011']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 44577011, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "00c49a906910eb1a794f33ef3f48aaef" } } $('.js-work-strip[data-work-id=44577011]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":44577011,"title":"The Ontological Insecurity of Disconnecting: A Theory of Echolocation and the Self","translated_title":"","metadata":{"abstract":"To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman \u0026 Littlefield.\r\n\r\n\r\nThis draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. At the micro-interactional level, we can see this constant radar pinging to find the self. The theory of sociality presented in this draft work is part of a forthcoming book on the topic. It emerges from six years of ethnographic and phenomenological study of around 1,500 youth regarding their everyday digital media."},"translated_abstract":"To see an official published version: Markham, A. N. (2022). The ontological insecurity of disconnecting: A theory of echolocation and the self. In Chia, A., Jorge, A., and Karppi, T. (Eds.). Reckoning with Social Media: Disconnection in the Age of the Techlash (pp forthcoming). Rowman \u0026 Littlefield.\r\n\r\n\r\nThis draft work presents a theory of sociality based on the ‘always on’ characteristics of life in the social media age. When people disconnect from the network, there can be a notable absence of the steady stream of identity pings. It can leave ‘always on’ users feeling bereft of the continual marking of boundaries of the edges of the Self. This ontology of echo-locating the Self through constant “call and response” can cause feelings of existential vulnerability or ontological insecurity, where the self, even the body, is cast into doubt. This theory of social echolocation is based in the idea that the seemingly seamless ‘always on’ state of connectivity is, at the more granular level, a process of continual echolocation, in the way we might think of radar, whereby the outline of an object in space is determined by sending a steady stream of sound signals and listening to the quality of the echo. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="51614" id="books"><div class="js-work-strip profile--work_container" data-work-id="465496"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/465496/Internet_Inquiry_Conversations_About_Method"><img alt="Research paper thumbnail of Internet Inquiry: Conversations About Method" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/465496/Internet_Inquiry_Conversations_About_Method">Internet Inquiry: Conversations About Method</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This collection of dialogues is the only textbook of its kind. Internet Inquiry: Conversations Ab...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This collection of dialogues is the only textbook of its kind. Internet Inquiry: Conversations About Method takes students into the minds of top internet researchers as they discuss how they have worked through critical challenges as they research online social environments. Editors Annette N. Markham and Nancy K. Baym illustrate that good research choices are not random but are deliberate, studied, and internally consistent. Rather than providing single "how to" answers, this book presents distinctive and divergent viewpoints on how to think about and conduct qualitative internet studies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="465496"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="465496"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 465496; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=465496]").text(description); $(".js-view-count[data-work-id=465496]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 465496; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='465496']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 465496, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=465496]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":465496,"title":"Internet Inquiry: Conversations About Method","translated_title":"","metadata":{"abstract":"This collection of dialogues is the only textbook of its kind. 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Given the colonialist, oppressive and exploitative dynamics through which digital platforms work, several scholars supported the need to embrace an openly activist role to help individuals contrast the ways in which they are trapped in loops of dependency and trajectorism. Drawing on the results of 40 auto-ethnographic diaries, this paper showcases the usefulness of critical pedagogical techniques in enhancing critical awareness regarding hegemonic datafication structures, while also arguing that despite a good level of consciousness raising, it remains difficult for people to go beyond subalternity and make more concrete changes in personal and collective behaviors. 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Given the colonialist, oppressive and exploitative dynamics through which digital platforms work, several scholars supported the need to embrace an openly activist role to help individuals contrast the ways in which they are trapped in loops of dependency and trajectorism. Drawing on the results of 40 auto-ethnographic diaries, this paper showcases the usefulness of critical pedagogical techniques in enhancing critical awareness regarding hegemonic datafication structures, while also arguing that despite a good level of consciousness raising, it remains difficult for people to go beyond subalternity and make more concrete changes in personal and collective behaviors. We contend that to break persistent feelings of dependency, it is necessary to go further with a two-step process combining autoethnographic tools, aimed at increasing critical algorithmic awareness, with the development of data science skills that can help individuals acquiring more precise knowledge schemes and scaling down the power of giant corporations, thereby building individual and collective capacities to use data for developing counter-narratives about possible futures.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="be84270a47b192226d8ad762ae0533ac" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":103528292,"asset_id":95069544,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/103528292/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95069544"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95069544"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95069544; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95069544]").text(description); $(".js-view-count[data-work-id=95069544]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95069544; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95069544']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95069544, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "be84270a47b192226d8ad762ae0533ac" } } $('.js-work-strip[data-work-id=95069544]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95069544,"title":"Returning to critical pedagogy in a world of datafication","translated_title":"","metadata":{"doi":"10.1177/13548565221148108","issue":"1","volume":"29","abstract":"The COVID-19 pandemic prompted a further extension of the sociotechnical logics of digital platforms to every realm of social life. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="112849315"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/112849315/A_critical_theory_data_literacy_tales_from_the_field"><img alt="Research paper thumbnail of A critical (theory) data literacy: tales from the field" class="work-thumbnail" src="https://attachments.academia-assets.com/109954765/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/112849315/A_critical_theory_data_literacy_tales_from_the_field">A critical (theory) data literacy: tales from the field</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://uu.academia.edu/AnnetteMarkham">Annette Markham</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://unibo.academia.edu/RiccardoPronzato">Riccardo Pronzato</a></span></div><div class="wp-workCard_item"><span>Information and Learning Sciences</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose This paper aims to explore how critical digital and data literacies are facilitated by te...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Purpose<br />This paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies.<br /><br />Design/methodology/approach<br />This contribution draws on a 10-year set of critical pedagogy experiments conducted in Denmark, USA and Italy, and engaging more than 1,500 young adults. Multi-method pedagogical design trains students to conduct self-oriented guided autoethnography, situational analysis, allegorical mapping, and critical infrastructure analysis.<br /><br />Findings<br />The techniques of guided autoethnography for facilitating sustained data literacy rely on inviting multiple iterations of self-analysis through sequential prompts, whereby students move through stages of observation, critical thinking, critical theory-informed critique around the lived experience of hegemonic data and artificial intelligence (AI) infrastructures.<br /><br />Research limitations/implications<br />Critical digital/data literacy researchers should continue to test models for building sustained critique that not only facilitate changes in behavior over time but also facilitate citizen social science, whereby participants use these autoethnographic techniques with friends and families to build locally relevant critique of the hegemonic power of data/AI infrastructures.<br /><br />Originality/value<br />The proposed literacy model adopts a critical theory stance and shows the value of using multiple modes of intervention at micro and macro levels to prompt self-analysis and meta-level reflexivity for learners. This framework places critical theory at the center of the pedagogy to spark more radical stances, which is contended to be an essential step in moving students from attitudinal change to behavioral change.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0af16a00c023be84032b82df60c549ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109954765,"asset_id":112849315,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109954765/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="112849315"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="112849315"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 112849315; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=112849315]").text(description); $(".js-view-count[data-work-id=112849315]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 112849315; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='112849315']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 112849315, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0af16a00c023be84032b82df60c549ea" } } $('.js-work-strip[data-work-id=112849315]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":112849315,"title":"A critical (theory) data literacy: tales from the field","translated_title":"","metadata":{"doi":"10.1108/ILS-06-2023-0087","issue":"5/6","volume":"125","abstract":"Purpose\nThis paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies.\n\nDesign/methodology/approach\nThis contribution draws on a 10-year set of critical pedagogy experiments conducted in Denmark, USA and Italy, and engaging more than 1,500 young adults. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116928120"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116928120/The_Algorithmic_Self_Layered_Accounts_of_Life_and_Identity_in_the_21st_Century"><img alt="Research paper thumbnail of The Algorithmic Self: Layered Accounts of Life and Identity in the 21st Century" class="work-thumbnail" src="https://attachments.academia-assets.com/112921797/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116928120/The_Algorithmic_Self_Layered_Accounts_of_Life_and_Identity_in_the_21st_Century">The Algorithmic Self: Layered Accounts of Life and Identity in the 21st Century</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper takes an actor network theory approach to explore some of the ways that algorithms co-...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper takes an actor network theory approach to explore some of the ways that algorithms co-construct identity and relational meaning in contemporary use of social media. Based on intensive interviews with participants as well as activity logging and data tracking, the author presents a richly layered set of accounts to help build our understanding of how individuals relate to their devices, search systems, and social network sites. This work extends critical analyses of the power of algorithms in implicating the social self by offering narrative accounts from multiple perspectives. It also contributes an innovative method for blending actor network theory with symbolic interaction to grapple with the complexity of everyday sensemaking practices within networked global information flows.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="542d4107f538628312095af48817fbc0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112921797,"asset_id":116928120,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112921797/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116928120"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116928120"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116928120; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116928120]").text(description); $(".js-view-count[data-work-id=116928120]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116928120; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116928120']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116928120, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "542d4107f538628312095af48817fbc0" } } $('.js-work-strip[data-work-id=116928120]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116928120,"title":"The Algorithmic Self: Layered Accounts of Life and Identity in the 21st Century","translated_title":"","metadata":{"abstract":"This paper takes an actor network theory approach to explore some of the ways that algorithms co-construct identity and relational meaning in contemporary use of social media. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="81988004"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/81988004/Representations_of_machine_vision_technologies_in_artworks_games_and_narratives_A_dataset"><img alt="Research paper thumbnail of Representations of machine vision technologies in artworks, games and narratives: A dataset" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/81988004/Representations_of_machine_vision_technologies_in_artworks_games_and_narratives_A_dataset">Representations of machine vision technologies in artworks, games and narratives: A dataset</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://uib.academia.edu/GabrieledeSeta">Gabriele de Seta</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://uu.academia.edu/AnnetteMarkham">Annette Markham</a></span></div><div class="wp-workCard_item"><span>Data in Brief</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This data paper documents a dataset that captures cultural attitudes towards machine vision techn...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This data paper documents a dataset that captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives) that use or represent machine vision technologies like facial recognition, deepfakes, and augmented reality. The dataset is divided into three main tables, relating to the works, to specific situations in each work involving machine vision technologies, and to the characters that interact with the technologies. Data about each work include title, author, year and country of publication; types of machine vision technologies featured; topics the work addresses, and sentiments shown towards machine vision in the work. In the various works we identified 874 specific situations where machine vision is central. The dataset includes detailed data about each of these situations that describes the actions of human and non-human agents, including machine vision technologies. The dataset is the product of a digital humanities project and can be also viewed as a database at <a href="http://machine-vision.no" rel="nofollow">http://machine-vision.no</a>. Data was collected by a team of topic experts who followed an analytical model developed to explore relationships between humans and technologies, inspired by posthumanist and feminist new materialist theories. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="19648513" id="conferencepresentations"><div class="js-work-strip profile--work_container" data-work-id="42174062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42174062/_Im_an_Addict_and_Other_Sensemaking_Devices_A_Discourse_Analysis_of_Self_Reflections_on_Lived_Experience_of_Social_Media"><img alt="Research paper thumbnail of "I'm an Addict" and Other Sensemaking Devices: A Discourse Analysis of Self-Reflections on Lived Experience of Social Media" class="work-thumbnail" src="https://attachments.academia-assets.com/62315214/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42174062/_Im_an_Addict_and_Other_Sensemaking_Devices_A_Discourse_Analysis_of_Self_Reflections_on_Lived_Experience_of_Social_Media">"I'm an Addict" and Other Sensemaking Devices: A Discourse Analysis of Self-Reflections on Lived Experience of Social Media</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://tallinn.academia.edu/KatrinTiidenberg">Katrin Tiidenberg</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://uu.academia.edu/AnnetteMarkham">Annette Markham</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://kp-dk.academia.edu/MadsRehder">Mads Rehder</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RamonaRiinDremljuga">Ramona-Riin Dremljuga</a></span></div><div class="wp-workCard_item"><span>#SMSociety'17, July 28-30, 2017, Toronto, ON, Canada</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">How do young people make sense of their social media experiences, which rhetoric do they use, whi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? Based on discourse analysis of approximately 500 pages of written data and 390 minutes of video (generated by 50 college students aged 18-30 between 2014-2016) this article explores how young people negotiate their own experience and existing discourses about social media. Our analysis shows that young people rely heavily on canonic binaries from utopian and dystopian interpretations of networked technologies to apply labels to themselves, others, and social media in general. As they are prompted to reflect on their experience, their rhetoric about social media use and its implications becomes more nuanced yet remains inherently contradictory. This reflects a dialectical struggle to make sense of their lived experiences and feelings. Our unique methodology for generating deeply self-reflexive, auto-ethnographic narrative accounts suggests a way for scholars to be able to understand the ongoing struggles for meaning that occur within the granularity of everyday reflections about our own social media use. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI • Human-centered computing → Social media • Human-centered computing → Empirical studies in collaborative and social computing • Applied computing → Sociology 1 Social media can be defined as "a group of Internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e556eb8c3fe0263e2c89a78b33fe9c9d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62315214,"asset_id":42174062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62315214/download_file?st=MTczMjQzODk0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42174062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42174062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42174062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42174062]").text(description); $(".js-view-count[data-work-id=42174062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 42174062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='42174062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 42174062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e556eb8c3fe0263e2c89a78b33fe9c9d" } } $('.js-work-strip[data-work-id=42174062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":42174062,"title":"\"I'm an Addict\" and Other Sensemaking Devices: A Discourse Analysis of Self-Reflections on Lived Experience of Social Media","translated_title":"","metadata":{"abstract":"How do young people make sense of their social media experiences, which rhetoric do they use, which grand narratives of technology and social media do they rely on? 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