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Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online

Author

Listed:
  • Jonas R. Kunst

    (University of Oslo)

  • Aleksander B. Gundersen

    (University of Oslo)

  • Izabela Krysińska

    (Poznan University of Technology)

  • Jan Piasecki

    (Jagiellonian University Medical College)

  • Tomi Wójtowicz

    (Poznan University of Technology)

  • Rafal Rygula

    (Polish Academy of Sciences)

  • Sander van der Linden

    (University of Cambridge)

  • Mikolaj Morzy

    (Poznan University of Technology)

Abstract

Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspiracy theories uncertain. We bridge this gap by combining the psychological self-reports of 2506 Twitter (currently X) users with machine-learning classification of whether the textual data from their 7.7 million social media engagements throughout the pandemic supported six common COVID-19 conspiracy theories. We assess demographic factors, political alignment, factors derived from theory of reasoned action, and individual psychological differences. Here, we show that being older, self-identifying as very left or right on the political spectrum, and believing in false information constitute the most consistent risk factors; denialist tendencies, confidence in one’s ability to spot misinformation, and political conservativism are positively associated with support for one conspiracy theory. Combining artificial intelligence analyses of big behavioral data with self-report surveys can effectively identify and validate risk factors for phenomena evident in large-scale online behaviors.

Suggested Citation

  • Jonas R. Kunst & Aleksander B. Gundersen & Izabela Krysińska & Jan Piasecki & Tomi Wójtowicz & Rafal Rygula & Sander van der Linden & Mikolaj Morzy, 2024. "Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51740-9
    DOI: 10.1038/s41467-024-51740-9
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    References listed on IDEAS

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    1. Alessandro Bessi & Mauro Coletto & George Alexandru Davidescu & Antonio Scala & Guido Caldarelli & Walter Quattrociocchi, 2015. "Science vs Conspiracy: Collective Narratives in the Age of Misinformation," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-17, February.
    2. M. Laeeq Khan & Ika Karlina Idris, 2019. "Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(12), pages 1194-1212, December.
    3. Andrew M. Guess & Brendan Nyhan & Jason Reifler, 2020. "Exposure to untrustworthy websites in the 2016 US election," Nature Human Behaviour, Nature, vol. 4(5), pages 472-480, May.
    4. Cho, Hyun-Chul & Abe, Shuzo, 2013. "Is two-tailed testing for directional research hypotheses tests legitimate?," Journal of Business Research, Elsevier, vol. 66(9), pages 1261-1266.
    5. van Mulukom, Valerie & Pummerer, Lotte J. & Alper, Sinan & Bai, Hui & Čavojová, Vladimíra & Farias, Jessica & Kay, Cameron S. & Lazarevic, Ljiljana B. & Lobato, Emilio J.C. & Marinthe, Gaëlle & Pavela, 2022. "Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review," Social Science & Medicine, Elsevier, vol. 301(C).
    6. Roland Imhoff & Felix Zimmer & Olivier Klein & João H. C. António & Maria Babinska & Adrian Bangerter & Michal Bilewicz & Nebojša Blanuša & Kosta Bovan & Rumena Bužarovska & Aleksandra Cichocka & Sylv, 2022. "Conspiracy mentality and political orientation across 26 countries," Nature Human Behaviour, Nature, vol. 6(3), pages 392-403, March.
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