Identifying COVID-19 Fake News in Social Media

Autor:	Raha, Tathagata, Indurthi, Vijayasaradhi, Upadhyaya, Aayush, Kataria, Jeevesh, Bommakanti, Pramud, Keswani, Vikram, Varma, Vasudeva
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Information Retrieval
Druh dokumentu:	Working Paper
Popis:	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. Comment: CONSTRAINT@AAAI
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2101.11954 Zobrazit plný text záznamu View this record from Arxiv