Foundations for Enabling People to Recognise Misinformation in Social Media News based on Retracted Science-Reference-Cited by-同舟云学术

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

Published:2024-04-17 Issue:CSCW1 Volume:8 Page:1-38
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Yaqub Waheeb¹^ORCID,Kay Judy¹^ORCID,Goldwater Micah²^ORCID

Affiliation:

1. Human Centered Technology Lab, The University of Sydney, Sydney, NSW, Australia

2. School of Psychology, University of Sydney, Sydney, NSW, Australia

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.

Funder

USYDIS

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3637335

Reference91 articles.

1. Rod Abhari, Nicholas Vincent, Henry K Dambanemuya, Herminio Bodon, and Emoke-Ágnes Horvát. 2022. Twitter Engagement with Retracted Articles: Who, When, and How? arXiv preprint arXiv:2203.04228 (2022).

2. Retracted papers are only the tip of the iceberg of untrustworthy evidence

3. Social Media and Fake News in the 2016 Election

4. Scaling up fact-checking using the wisdom of crowds

5. Mihai Avram, Nicholas Micallef, Sameer Patil, and Filippo Menczer. 2020. Exposure to Social Engagement Metrics Increases Vulnerability to Misinformation. arXiv preprint arXiv:2005.04682 (2020).