Exploring Thematic Coherence in Fake News

The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to analyze the coherence of cross-domain news shared on...

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Detalles Bibliográficos
Autores principales: Dogo, Martins Samuel, Deepak P., Jurek-Loughrey, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850084/
http://dx.doi.org/10.1007/978-3-030-65965-3_40
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author Dogo, Martins Samuel
Deepak P.
Jurek-Loughrey, Anna
author_facet Dogo, Martins Samuel
Deepak P.
Jurek-Loughrey, Anna
author_sort Dogo, Martins Samuel
collection PubMed
description The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to analyze the coherence of cross-domain news shared online. Experimental results on seven cross-domain datasets demonstrate that fake news shows a greater thematic deviation between its opening sentences and its remainder.
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spelling pubmed-78500842021-02-02 Exploring Thematic Coherence in Fake News Dogo, Martins Samuel Deepak P. Jurek-Loughrey, Anna ECML PKDD 2020 Workshops Article The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to analyze the coherence of cross-domain news shared online. Experimental results on seven cross-domain datasets demonstrate that fake news shows a greater thematic deviation between its opening sentences and its remainder. 2020-12-09 /pmc/articles/PMC7850084/ http://dx.doi.org/10.1007/978-3-030-65965-3_40 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Dogo, Martins Samuel
Deepak P.
Jurek-Loughrey, Anna
Exploring Thematic Coherence in Fake News
title Exploring Thematic Coherence in Fake News
title_full Exploring Thematic Coherence in Fake News
title_fullStr Exploring Thematic Coherence in Fake News
title_full_unstemmed Exploring Thematic Coherence in Fake News
title_short Exploring Thematic Coherence in Fake News
title_sort exploring thematic coherence in fake news
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850084/
http://dx.doi.org/10.1007/978-3-030-65965-3_40
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