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Incorporating Contextual Knowledge and Multi-Faceted Search</title> <meta name="description" content="Automated Fact-Checking By Incorporating Contextual Knowledge and Multi-Faceted Search"> <meta name="keywords" content="Fact checking, claim verification, Deep Learning, Natural Language Processing."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Automated Fact-Checking By Incorporating Contextual Knowledge and Multi-Faceted Search"> <meta name="citation_author" content="Wenbo Wang"> <meta name="citation_author" content="Yi-fang Brook Wu"> <meta name="citation_publication_date" content="2024/08/13"> <meta name="citation_journal_title" content="International Journal of Cognitive and Language Sciences"> <meta name="citation_volume" content="18"> <meta name="citation_issue" content="8"> <meta name="citation_firstpage" content="487"> <meta 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<input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 33093</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Automated Fact-Checking By Incorporating Contextual Knowledge and Multi-Faceted Search</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Wenbo%20Wang">Wenbo Wang</a>, <a href="https://publications.waset.org/search?q=Yi-fang%20Brook%20Wu"> Yi-fang Brook Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The spread of misinformation and disinformation has become a major concern, particularly with the rise of social media as a primary source of information for many people. As a means to address this phenomenon, automated fact-checking has emerged as a safeguard against the spread of misinformation and disinformation. Existing fact-checking approaches aim to determine whether a news claim is true or false, and they have achieved decent veracity prediction accuracy. However, the state of the art methods rely on manually verified external information to assist the checking model in making judgments, which requires significant human resources. This study presents a framework, SAC, which focuses on 1) augmenting the representation of a claim by incorporating additional context using general-purpose, comprehensive and authoritative data; 2) developing a search function to automatically select relevant, new and credible references; 3) focusing on the important parts of the representations of a claim and its reference that are most relevant to the fact-checking task. The experimental results demonstrate that: 1) Augmenting the representations of claims and references through the use of a knowledge base, combined with the multi-head attention technique, contributes to improved performance of fact-checking. 2) SAC with auto-selected references outperforms existing fact-checking approaches with manual selected references. Future directions of this study include I) exploring knowledge graph in Wikidata to dynamically augment the representations of claims and references without introducing too much noises; II) exploring semantic relations in claims and references to further enhance fact-checking.</p> <iframe src="https://publications.waset.org/10013763.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Fact%20checking" title="Fact checking">Fact checking</a>, <a href="https://publications.waset.org/search?q=claim%20verification" title=" claim verification"> claim verification</a>, <a href="https://publications.waset.org/search?q=Deep%20Learning" title=" Deep Learning"> Deep Learning</a>, <a href="https://publications.waset.org/search?q=Natural%20Language%20Processing." title=" Natural Language Processing."> Natural Language Processing.</a> </p> <a href="https://publications.waset.org/10013763/automated-fact-checking-by-incorporating-contextual-knowledge-and-multi-faceted-search" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10013763/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10013763/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10013763/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10013763/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10013763/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10013763/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10013763/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10013763/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10013763/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10013763/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10013763.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Preslav Nakov et al. “Automated Fact-Checking for Assisting Human Fact-Checkers”. 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