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(PDF) Factors affecting hate speech control for peace building in Kenyan social media. A case of Kenyan bloggers | Beckie Kiai - Academia.edu
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"https://www.academia.edu/login?post_login_redirect_url=https%3A%2F%2Fwww.academia.edu%2F92213429%2FFactors_affecting_hate_speech_control_for_peace_building_in_Kenyan_social_media_A_case_of_Kenyan_bloggers%3Fshow_translation%3Dtrue"; window.loswp.previewableAttachments = [{"id":95281909,"identifier":"Attachment_95281909","shouldShowBulkDownload":false}]; window.loswp.shouldDetectTimezone = true; window.loswp.shouldShowBulkDownload = true; window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":92213429,"created_at":"2022-12-05T01:37:27.687-08:00","from_world_paper_id":222023590,"updated_at":"2024-11-25T14:46:08.186-08:00","_data":{"grobid_abstract":"This project is dedicated to my parents Isaac and Linah Kiai for their love and endless support in all my academic endeavours and to my siblings Ruth, Newton, Moses and Thomas for the push to always be a role model. iv ACKNOWLEDGEMENTS I wish to sincerely appreciate the staff of University of Nairobi Nakuru Campus, all my lecturers and fellow classmates for the support received in the cause of this academic journey. I am particularly grateful to my supervisor Mr Mumo Mueke for his guidance while putting together this project, the encouragement, patience and inspiration. A special gratitude goes to Mr Leboo Leyiaro for always being there to listen and discuss my ideas with regards to this project. It is through her valued support that enabled me to come up with a successful project. This research wouldn't be successful were it not for the respondents to the study's questionnaire. Hence am thankful to all respondents of the Bloggers Association of Kenya (BAKE) for the valuable information they gave during the research process v TABLE OF CONTENTS","publication_date":"2015,,","grobid_abstract_attachment_id":"95281909"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Factors affecting hate speech control for peace building in Kenyan social media. A case of Kenyan bloggers","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [32559562]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":95281909,"attachmentType":"pdf"}"><img alt="First page of “Factors affecting hate speech control for peace building in Kenyan social media. A case of Kenyan bloggers”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/95281909/mini_magick20221205-1-1a8xvz5.png?1670233650" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Factors affecting hate speech control for peace building in Kenyan social media. A case of Kenyan bloggers</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="32559562" href="https://independent.academia.edu/BeckieKiai"><img alt="Profile image of Beckie Kiai" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/32559562/14321016/15259779/s65_beckie.kiai.jpg" />Beckie Kiai</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2015</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">81 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 92213429; const worksViewsPath = "/v0/works/views?subdomain_param=api&work_ids%5B%5D=92213429"; const getWorkViews = async (workId) => { const response = await fetch(worksViewsPath); if (!response.ok) { throw new Error('Failed to load work views'); } const data = await response.json(); return data.views[workId]; }; // Get the view count for the work - we send this immediately rather than waiting for // the DOM to load, so it can be available as soon as possible (but without holding up // the backend or other resource requests, because it's a bit expensive and not critical). const viewCount = await getWorkViews(workId); const updateViewCount = (viewCount) => { const viewCountNumber = Number(viewCount); if (!viewCountNumber) { throw new Error('Failed to parse view count'); } const commaizedViewCount = viewCountNumber.toLocaleString(); const viewCountBody = document.getElementById('work-metadata-view-count'); if (viewCountBody) { viewCountBody.textContent = `${commaizedViewCount} views`; } else { throw new Error('Failed to find work views element'); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":95281909,"attachmentType":"pdf","workUrl":"https://www.academia.edu/92213429/Factors_affecting_hate_speech_control_for_peace_building_in_Kenyan_social_media_A_case_of_Kenyan_bloggers"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":95281909,"attachmentType":"pdf","workUrl":"https://www.academia.edu/92213429/Factors_affecting_hate_speech_control_for_peace_building_in_Kenyan_social_media_A_case_of_Kenyan_bloggers"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="95281909" data-landing_url="https://www.academia.edu/92213429/Factors_affecting_hate_speech_control_for_peace_building_in_Kenyan_social_media_A_case_of_Kenyan_bloggers" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="27761505" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/27761505/Digitized_Ethnic_Hate_Speech_Understanding_Effects_of_Digital_Media_Hate_Speech_on_Citizen_Journalism_in_Kenya">Digitized Ethnic Hate Speech: Understanding Effects of Digital Media Hate Speech on Citizen Journalism in Kenya</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="29293245" href="https://independent.academia.edu/KimothoStephen">Stephen G Kimotho</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Ethnicity in Kenya permeates all spheres of life. However, it is in politics that ethnicity is most visible. Election time in Kenya often leads to ethnic competition and hatred, often expressed through various media. Ethnic hate speech characterized the 2007 general elections in party rallies and through text messages, emails, posters and leaflets. This resulted in widespread skirmishes that left over 1200 people dead, and many displaced (KNHRC, 2008). In 2013, however, the new battle zone was the war of words on social media platform. More than any other time in Kenyan history, Kenyans poured vitriolic ethnic hate speech through digital media like Facebook, tweeter and blogs. Although scholars have studied the role and effects of the mainstream media like television and radio in proliferating the ethnic hate speech in Kenya (Michael Chege, 2008; Goldstein & Rotich, 2008a; Ismail & Deane, 2008; Jacqueline Klopp & Prisca Kamungi, 2007), little has been done in regard to social media. This paper investigated the nature of digitized hate speech by: describing the forms of ethnic hate speech on social media in Kenya; the effects of ethnic hate speech on Kenyan's perception of ethnic entities; ethnic conflict and ethics of citizen journalism. This study adopted a descriptive interpretive design, and utilized Austin's Speech Act Theory, which explains use of language to achieve desired purposes and direct behaviour (Tarhom & Miracle, 2013). Content published between January and April 2013 from six purposefully identified blogs was analysed. Questionnaires were used to collect data from university students as they form a good sample of Kenyan population, are most active on social media and are drawn from all parts of the country. Qualitative data were analysed using NVIVO 10 software, while responses from the questionnaire were analysed using IBM SPSS version 21. The findings indicated that Facebook and Twitter were the main platforms used to express ethnic hatred. Hate speech incited hatred and conflict for political gain. Ethical issues raised included moral subordination and incivility.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Digitized Ethnic Hate Speech: Understanding Effects of Digital Media Hate Speech on Citizen Journalism in Kenya","attachmentId":48038272,"attachmentType":"pdf","work_url":"https://www.academia.edu/27761505/Digitized_Ethnic_Hate_Speech_Understanding_Effects_of_Digital_Media_Hate_Speech_on_Citizen_Journalism_in_Kenya","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/27761505/Digitized_Ethnic_Hate_Speech_Understanding_Effects_of_Digital_Media_Hate_Speech_on_Citizen_Journalism_in_Kenya"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="67202777" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/67202777/Hate_Content_on_Kenyan_Social_Media_Space_How_the_Social_Media_is_Propagating_the_Spread_of_Hate_Messages_in_Kenya">Hate Content on Kenyan Social Media Space: How the Social Media is Propagating the Spread of Hate Messages in Kenya</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="132090894" href="https://mmust.academia.edu/JohnKirimiMraiji">John Kirimi M'raiji</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Media, Journalism and Mass Communications, 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Over Time, assertions have been rife in many spheres on what constitutes hate messages. Developing countries especially in Africa have been hard hit with violence and uprisings in the recent past to what could be blames to such. However, what can be drawn and asserted to lead to advocacy of national, ethnicity, racial or and religious hatred that constitutes incitement to discrimination, hostility or violence, prohibited by Article 20 of the International Covenant on Civil and Political Rights (ICCPR) often precedes mass atrocities like genocide, civil wars, mass and forceful displacements of populations and war (ICCPR, 1966).</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Hate Content on Kenyan Social Media Space: How the Social Media is Propagating the Spread of Hate Messages in Kenya","attachmentId":78108375,"attachmentType":"pdf","work_url":"https://www.academia.edu/67202777/Hate_Content_on_Kenyan_Social_Media_Space_How_the_Social_Media_is_Propagating_the_Spread_of_Hate_Messages_in_Kenya","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/67202777/Hate_Content_on_Kenyan_Social_Media_Space_How_the_Social_Media_is_Propagating_the_Spread_of_Hate_Messages_in_Kenya"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="7396058" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/7396058/Peaceful_or_Violent_Online_hate_speech_during_Kenya_s_general_elections_2013">Peaceful or Violent? Online hate speech during Kenya’s general elections 2013</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="9970760" href="https://birmingham.academia.edu/FreyjaOddsd%C3%B3ttir">Freyja Oddsdóttir</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2014</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper explores the dynamics of electoral violence in Kenya through a comparative study of the 2007 and 2013 election periods. While the most recent general elections in March 2013 have been widely regarded as peaceful in comparison to the 2007/8 post-election violence, this article will draw on data from interviews with civil society actors in arguing that the 2013 elections cannot be considered peaceful, but that the previously physical violence took on the form of online hate speech. In building this argument, this paper analyses online hate speech, self-censorship of the Kenyan media during the election period from 2012 to 2013, as well as the weaknesses of the reconciliation processes put in place after the 2008 post-election violence. It finds that online hate speech has been prominent during the campaign period of the 2013 elections, and that while a truth commission has been established, its members and work remain highly controversial. Long-standing grievances due to unequal access to public goods, political power and uneven government expenditure have not been dealt with adequately. Structural violence is still present, manifested in competition for political power, ethnic tensions and vulnerability to violent conflict. Security forces have repeatedly failed to act upon receiving early warning signs of conflict in the past, and a gap remains between intelligence on potential outbreak of conflict and action of security forces. The paper concludes that without outlets that allow for discussion on contentious issues, online hate speech and threats of violence will continue to thrive in online forums. Coupled with controversial reconciliation processes and continued structural violence, online hate speech in Kenya provides insight into an unresolved conflict and continued grievances, indicating continued vulnerability to violent conflict. The case of Kenya indicates that while online hate speech cannot be relied on solely to predict physical violence, it can provide insight into the conversations the public may be having offline. Such information is likely to be valuable for conflict early warning and response mechanisms, as well as conflict mapping. This also raises questions on how to engage with online forums in conflict-sensitive environment. While Kenyan authorities have chosen to outlaw hate speech and prosecute those who participate in spreading dangerous speech online, the challenge ahead lies in treading the fine line between censoring vs. allowing hate speech, and how to allow for public debates on contentious issues without fearing that violence will be triggered.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Peaceful or Violent? Online hate speech during Kenya’s general elections 2013","attachmentId":33986984,"attachmentType":"pdf","work_url":"https://www.academia.edu/7396058/Peaceful_or_Violent_Online_hate_speech_during_Kenya_s_general_elections_2013","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/7396058/Peaceful_or_Violent_Online_hate_speech_during_Kenya_s_general_elections_2013"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="7305771" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/7305771/Social_Media_Ethnic_hatred_and_Peace_Journalism_Case_of_Twitter_and_FaceBook_use_in_Kenya">Social Media, Ethnic hatred and Peace Journalism: Case of Twitter and FaceBook use in Kenya.</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="7769019" href="https://kabarak.academia.edu/MichaelMNdonye">Dr. Michael M . Ndonye, BA, MA(MJAC), PhD.</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Social Media, Ethnic hatred and Peace Journalism: Case of Twitter and FaceBook use in Kenya.","attachmentId":34128642,"attachmentType":"pdf","work_url":"https://www.academia.edu/7305771/Social_Media_Ethnic_hatred_and_Peace_Journalism_Case_of_Twitter_and_FaceBook_use_in_Kenya","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/7305771/Social_Media_Ethnic_hatred_and_Peace_Journalism_Case_of_Twitter_and_FaceBook_use_in_Kenya"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="37293543" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/37293543/Social_Media_and_Hate_Speech_Analysis_of_Comments_on_Biafra_Agitations_Nigeria_MCC_Vol_2_No_1_Article_04_pdf">Social Media and Hate Speech: Analysis of Comments on Biafra Agitations, Nigeria. MCC Vol 2 No 1 Article 04.pdf</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="23429637" href="https://nsuk.academia.edu/AhmadMuhammadAuwal">Ahmad Muhammad Auwal</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Social media has been adjudged an innovation which can be utilized to propel socioeconomic and political transformations in the modern society. Given the liberty in access and use of social media, Nigerians have in recent times, put to use the platform to express their views on national issues. Recent occurrences have revealed that the use of vile and hateful comments dominate the discourse among Nigerians on the social media space, particularly Facebook. This development indicates the potentials of social media to pose serious threats to peaceful coexistence through the proliferation of hate comments. This paper examines users' comments on Biafra agitations and the Arewa youths' ultimatum to Igbo residents in the North, with a focus on the Facebook accounts of selected media organisations. The critical discourse analysis approach was employed to explore the tone of comments (that attack or express support for a particular ethnic or religious group, and those that attack the personality of the president based on his regional and ethnic affiliations) and their implications on peaceful coexistence in Nigeria. Findings reveal that users were polarised along regional and religious lines in their comments, posting negative and injurious comments capable of turning the nation against itself. This is attributed to the ubiquitous nature of social media, making it possible for users to anonymously read contents and react with derogatory comments that insult or ridicule the ethnic, political, regional and religious affiliations of the diverse population of the country. 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