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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CITATION STYLE
Dogo, M. S., Deepak P, & Jurek-Loughrey, A. (2020). Exploring Thematic Coherence in Fake News. In Communications in Computer and Information Science (Vol. 1323, pp. 571–580). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-65965-3_40
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