NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet
2021-06-01NAACL (NLP4IF) 2021Unverified0· sign in to hype
Ankit Kumar, Naman Jhunjhunwala, Raksha Agarwal, Niladri Chatterjee
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The spread of COVID-19 has been accompanied with widespread misinformation on social media. In particular, Twitterverse has seen a huge increase in dissemination of distorted facts and figures. The present work aims at identifying tweets regarding COVID-19 which contains harmful and false information. We have experimented with a number of Deep Learning-based models, including different word embeddings, such as Glove, ELMo, among others. BERTweet model achieved the best overall F1-score of 0.881 and secured the third rank on the above task.