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The 2020 coronavirus pandemic has heightened the need to flagcoronavirus-related misinformation, and fact-checking groups have taken toverifying misinformation on the Internet. We explore stories reported byfact-checking groups PolitiFact, Poynter and Snopes from January to June 2020,characterising them into six story clusters before then analyse time-series andstory validity trends and the level of agreement across sites. We further breakdown the story clusters into more granular story types by proposing a uniqueautomated method with a BERT classifier, which can be used to classify diversestory sources, in both fact-checked stories and tweets.

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