MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts' Sharing of Misinformation

M Mensio, G Burel, T Farrell, H Alani - … of the 31st ACM Conference on …, 2023 - dl.acm.org
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023dl.acm.org
Persistent and widespread misinformation continues to pose a threat to societies on various
levels. Despite the concerted efforts to address this issue, the challenge of capturing and
scrutinising the interaction of individuals with misinformation remains. In this paper, we
introduce MisinfoMe; a tool that leverages Fact-Checkers' ClaimReview annotations and
source-level validations to assess the credibility of Twitter accounts based on their sharing of
misinformation over time.
Persistent and widespread misinformation continues to pose a threat to societies on various levels. Despite the concerted efforts to address this issue, the challenge of capturing and scrutinising the interaction of individuals with misinformation remains. In this paper, we introduce MisinfoMe; a tool that leverages Fact-Checkers’ ClaimReview annotations and source-level validations to assess the credibility of Twitter accounts based on their sharing of misinformation over time.
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