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Briony Swire-Thompson

Briony Swire-Thompson

· Cognitive Psychologist and Director of the Psychology of Misinformation Lab

Northeastern University · Psychology

Active 2018–2026

h-index25
Citations8.9k
Papers8161 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Briony Swire-Thompson is a cognitive psychologist and assistant professor at Northeastern University, where she directs the Psychology of Misinformation Lab. Her research investigates what drives belief in inaccurate information, why people refrain from belief change in the face of good corrective evidence, and how corrections can be designed to maximize impact. She is affiliated with the Northeastern University's Political Science Department and the Network Science Institute. Prior to joining Northeastern, she was at the University of Western Australia’s Cognitive Science Laboratories and was a Fulbright scholar at the Massachusetts Institute of Technology. She is currently funded by the National Cancer Institute to study cancer misinformation.

Selected publications

  • Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report

    JNCI Journal of the National Cancer Institute · 2021-07-14 · 217 citations

    articleOpen access

    There are few data on the quality of cancer treatment information available on social media. Here, we quantify the accuracy of cancer treatment information on social media and its potential for harm. Two cancer experts reviewed 50 of the most popular social media articles on each of the 4 most common cancers. The proportion of misinformation and potential for harm were reported for all 200 articles and their association with the number of social media engagements using a 2-sample Wilcoxon rank-s…

  • Supersharers of fake news on Twitter

    Science · 2024-05-30 · 51 citations

    articleOpen access

    Governments may have the capacity to flood social media with fake news, but little is known about the use of flooding by ordinary voters. In this work, we identify 2107 registered US voters who account for 80% of the fake news shared on Twitter during the 2020 US presidential election by an entire panel of 664,391 voters. We found that supersharers were important members of the network, reaching a sizable 5.2% of registered voters on the platform. Supersharers had a significant overrepresentatio…

  • Using psychological science to understand and fight health misinformation: An APA consensus statement.

    American Psychologist · 2025-10-20 · 26 citations

    articleOpen access

    There is widespread concern that misinformation poses dangerous risks to health, well-being, and civic life. Despite a growing body of research on the topic, significant questions remain about the psychological factors that render people susceptible to misinformation, the extent to which it affects real-world behavior, how it spreads online and offline, and intervention strategies that counter and correct misinformation effectively. This report reviews the best available psychological science re…

  • Don’t believe them! Reducing misinformation influence through source discreditation

    Cognitive Research Principles and Implications · 2024-08-26 · 12 citations

    articleOpen accessSenior author

    Misinformation often continues to influence people's reasoning even after it has been corrected. Therefore, an important aim of applied cognition research is to identify effective measures to counter misinformation. One frequently recommended but hitherto insufficiently tested strategy is source discreditation, that is, attacking the credibility of a misinformation source. In two experiments, we tested whether immediate source discreditation could reduce people's subsequent reliance on fictional…

  • Countering AI-generated misinformation with pre-emptive source discreditation and debunking

    Royal Society Open Science · 2025-06-01 · 10 citations

    articleOpen access

    Despite widespread concerns over AI-generated misinformation, its impact on people’s reasoning and the effectiveness of countermeasures remain unclear. This study examined whether a pre-emptive, source-focused inoculation—designed to lower trust in AI-generated information—could reduce its influence on reasoning. This approach was compared with a retroactive, content-focused debunking, as well as a simple disclaimer that AI-generated information may be misleading, as often seen on real-world pla…

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