Pith. sign in

REVIEW

Exploring Thematic Coherence in Fake News

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2012.09118 v2 pith:GV7MJ7K5 submitted 2020-12-16 cs.CL

Martins Samuel Dogo , Deepak P , Anna Jurek-Loughrey This is my paper · ORCID
classification cs.CL
keywords newscoherencefakecross-domainthematicanalyzeanalyzingcurtailing
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original 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.

Discussion (0). Continue with ORCID to comment.

Pith tools