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

Mensio, Martino; Burel, Gregoire; Farrell, Tracie and Alani, Harith (2023). MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts’ Sharing of Misinformation. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, ACM pp. 72–75.

DOI: https://doi.org/10.1145/3563359.3597396

Abstract

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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