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Exploring Thematic Coherence in Fake News
December 16, 2020 ยท Declared Dead ยท ๐ PKDD/ECML Workshops
"No code URL or promise found in abstract"
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Authors
Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey
arXiv ID
2012.09118
Category
cs.CL: Computation & Language
Citations
5
Venue
PKDD/ECML Workshops
Last Checked
4 months ago
Abstract
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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