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Paper detail

Identifying COVID-19 Fake News in Social Media

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.

preprint2021arXivOpen access
Tathagata RahaVijayasaradhi IndurthiAayush UpadhyayaJeevesh KatariaPramud BommakantiVikram KeswaniVasudeva Varma
Computation and LanguageInformation RetrievalArtificial Intelligence
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Open access7 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Tathagata RahaVijayasaradhi IndurthiAayush UpadhyayaJeevesh KatariaPramud BommakantiVikram KeswaniVasudeva Varma

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