The State of Infodemic on Twitter

• URL: http://arxiv.org/abs/2105.07730v1
• Date: Mon, 17 May 2021 10:58:35 GMT
• Title: The State of Infodemic on Twitter
• Authors: Drishti Jain (1), Tavpritesh Sethi (1) ((1) Indraprastha Institute of Information Technology)
• Abstract summary: Social media posts and platforms are at risk of rumors and misinformation in the face of the serious uncertainty surrounding the virus itself. We have presented an exploratory analysis of the tweets and the users who are involved in spreading misinformation. We then delved into machine learning models and natural language processing techniques to identify if a tweet contains misinformation.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the context of the current COVID-19 pandemic, social media posts and platforms are at risk of rumors and misinformation in the face of the serious uncertainty surrounding the virus itself. At the same time, the uncertainty and new nature of COVID-19 means that other unconfirmed information that may appear "rumored" may be an important indicator of the behavior and impact of this new virus. Twitter, in particular, has taken a center stage in this storm where Covid-19 has been a much talked about subject. We have presented an exploratory analysis of the tweets and the users who are involved in spreading misinformation and then delved into machine learning models and natural language processing techniques to identify if a tweet contains misinformation.

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