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Foundations for Enabling People to Recognise Misinformation in Social Media News based on Retracted Science

Authors:

Micah GoldwaterAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1

Article No.: 58, Pages 1 - 38

https://doi.org/10.1145/3637335

Published: 26 April 2024 Publication History

Abstract

For many people, social media is an important way to consume news on important topics like health. Unfortunately, some influential health news is misinformation because it is based on retracted scientific work. Ours is the first work to explore how people can understand this form of misinformation and how an augmented social media interface can enable them to make use of information about retraction. We report a between-subjects think-aloud study with 44 participants, where the experimental group used our augmented interface. Our results indicate that this helped them consider retraction when judging the credibility of news. Our key contributions are foundational insights for tackling the problem, revealing the interplay between people's understanding of scientific retraction, their prior beliefs about a topic and the way they use a social media interface that provides access to retraction information.

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Cited By

Masurkar HSuleiman BYaqub WAlibasa M(2024)Are Fact Checkers Effective in the Post Truth World? Assessing Impact of Fact Checkers Cross Medium and PlatformsWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_3(30-40)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_3
Iqbal AYaqub WSuleiman BMohanty M(2024)What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative ApproachWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_2(15-29)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_2
Bartlett AYaqub WSuleiman BMohanty M(2024)Misinformation in Reels, Influence of Contextual Superimposed Texts in Short VideosWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_1(3-14)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_1

Index Terms

Foundations for Enabling People to Recognise Misinformation in Social Media News based on Retracted Science
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social media
    2. Empirical studies in collaborative and social computing
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Social aspects of security and privacy
    2. Usability in security and privacy

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 8, Issue CSCW1

CSCW

April 2024

6294 pages

EISSN:2573-0142

DOI:10.1145/3661497

Editor:
Jeff Nichols
Apple Inc., United States

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Association for Computing Machinery

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Publication History

Published: 26 April 2024

Published in PACMHCI Volume 8, Issue CSCW1

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Masurkar HSuleiman BYaqub WAlibasa M(2024)Are Fact Checkers Effective in the Post Truth World? Assessing Impact of Fact Checkers Cross Medium and PlatformsWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_3(30-40)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_3
Iqbal AYaqub WSuleiman BMohanty M(2024)What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative ApproachWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_2(15-29)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_2
Bartlett AYaqub WSuleiman BMohanty M(2024)Misinformation in Reels, Influence of Contextual Superimposed Texts in Short VideosWeb Information Systems Engineering – WISE 202410.1007/978-981-96-0567-5_1(3-14)Online publication date: 2-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0567-5_1

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