demonstration

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

Authors:

Martino Mensio,

Gregoire Burel,

Tracie Farrell,

Harith AlaniAuthors Info & Claims

UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Pages 72 - 75

https://doi.org/10.1145/3563359.3597396

Published: 16 June 2023 Publication History

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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.

References

[1]

Gregoire Burel, Tracie Farrell, Martino Mensio, Prashant Khare, and Harith Alani. 2020. Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In Proceedings of the 12th International Social Informatics Conference (SocInfo)(LNCS). http://oro.open.ac.uk/71786/

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[2]

Ronald Denaux, Martino Mensio, Jose Manuel Gomez-Perez, and Harith Alani. 2021. Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract), In Thirtieth International Joint Conference on Artificial Intelligence. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. http://oro.open.ac.uk/78620/

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[3]

Martino Mensio and Harith Alani. 2019. MisinfoMe: Who?s Interacting with Misinformation?. In 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks. CEUR WS. http://oro.open.ac.uk/66341/

Google Scholar

[4]

Martino Mensio and Harith Alani. 2019. News Source Credibility in the Eyes of Different Assessors, In Proceedings of the Conference for Truth and Trust Online 2019. Proceedings of the Conference for Truth and Trust Online 2019. http://oro.open.ac.uk/62771/

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[5]

Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, and Paolo Papotti. 2022. Crowdsourced Fact-Checking at Twitter. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management. ACM. https://doi.org/10.1145/3511808.3557279

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Cited By

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Soprano MRoitero KGadiraju UMaddalena EDemartini G(2024)Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing PlatformsACM Transactions on Social Computing10.1145/36748847:1-4(1-49)Online publication date: 11-Jul-2024
https://dl.acm.org/doi/10.1145/3674884
Burel GTavakoli MAlani H(2024)Exploring the impact of automated correction of misinformation in social mediaAI Magazine10.1002/aaai.12180Online publication date: 4-Jun-2024
https://doi.org/10.1002/aaai.12180
Burel GAlani H(2023)The Fact-Checking ObservatoryProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609042(1-3)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609042

Index Terms

MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts’ Sharing of Misinformation
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media
2. Information systems
  1. Information systems applications
  2. World Wide Web
    1. Web applications

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Published In

UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

June 2023

446 pages

ISBN:9781450398916

DOI:10.1145/3563359

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2023

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Demonstration
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Refereed limited

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EPSRC
European CHIST-ERA

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UMAP '23

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UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization

June 26 - 29, 2023

Limassol, Cyprus

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Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

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June 16 - 19, 2025

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Soprano MRoitero KGadiraju UMaddalena EDemartini G(2024)Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing PlatformsACM Transactions on Social Computing10.1145/36748847:1-4(1-49)Online publication date: 11-Jul-2024
https://dl.acm.org/doi/10.1145/3674884
Burel GTavakoli MAlani H(2024)Exploring the impact of automated correction of misinformation in social mediaAI Magazine10.1002/aaai.12180Online publication date: 4-Jun-2024
https://doi.org/10.1002/aaai.12180
Burel GAlani H(2023)The Fact-Checking ObservatoryProceedings of the 34th ACM Conference on Hypertext and Social Media10.1145/3603163.3609042(1-3)Online publication date: 4-Sep-2023
https://dl.acm.org/doi/10.1145/3603163.3609042

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Recommendations

Hoaxy: A Platform for Tracking Online Misinformation

The Dynamics of (Not) Unfollowing Misinformation Spreaders

Are Mutated Misinformation More Contagious? A Case Study of COVID-19 Misinformation on Twitter

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