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Identifying COVID-19 Fake News in Social Media

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arxiv 2101.11954 v2 pith:WRGZ3ARU submitted 2021-01-28 cs.CL cs.AIcs.IR

Tathagata Raha , Vijayasaradhi Indurthi , Aayush Upadhyaya , Jeevesh Kataria , Pramud Bommakanti , Vikram Keswani , Vasudeva Varma This is my paper
classification cs.CLcs.AIcs.IR
keywords fakemediamodelsnewssocialachievecovid-19easily
verification ladder T0 review T1 audit T2 compute T3 formal
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The evolution of social media platforms have empowered everyone to access information easily. Social media users can easily share information with the rest of the world. This may sometimes encourage spread of fake news, which can result in undesirable consequences. In this work, we train models which can identify health news related to COVID-19 pandemic as real or fake. Our models achieve a high F1-score of 98.64%. Our models achieve second place on the leaderboard, tailing the first position with a very narrow margin 0.05% points.

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