The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories

 

arXiv.org > cs > arXiv:2104.01215

Computer Science > Social and Information Networks

COVID-19 e-print

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The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories

The 2020 coronavirus pandemic has heightened the need to flag coronavirus-related misinformation, and fact-checking groups have taken to verifying misinformation on the Internet. We explore stories reported by fact-checking groups PolitiFact, Poynter and Snopes from January to June 2020, characterising them into six story clusters before then analyse time-series and story validity trends and the level of agreement across sites. We further break down the story clusters into more granular story types by proposing a unique automated method with a BERT classifier, which can be used to classify diverse story sources, in both fact-checked stories and tweets.
Subjects: Social and Information Networks (cs.SI); Computation and Language (cs.CL)
Journal reference: SBP-Brims 2020 COVID Special Track
Cite as: arXiv:2104.01215 [cs.SI]
  (or arXiv:2104.01215v1 [cs.SI] for this version)

Submission history

From: Lynnette Hui Xian Ng [view email]
[v1] Fri, 2 Apr 2021 19:27:53 UTC (406 KB)

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