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Confidence drives a neural confirmation bias

Author

Listed:
  • Max Rollwage

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research)

  • Alisa Loosen

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research)

  • Tobias U. Hauser

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research)

  • Rani Moran

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research)

  • Raymond J. Dolan

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research)

  • Stephen M. Fleming

    (University College London
    Max Planck University College London Centre for Computational Psychiatry and Ageing Research
    University College London)

Abstract

A prominent source of polarised and entrenched beliefs is confirmation bias, where evidence against one’s position is selectively disregarded. This effect is most starkly evident when opposing parties are highly confident in their decisions. Here we combine human magnetoencephalography (MEG) with behavioural and neural modelling to identify alterations in post-decisional processing that contribute to the phenomenon of confirmation bias. We show that holding high confidence in a decision leads to a striking modulation of post-decision neural processing, such that integration of confirmatory evidence is amplified while disconfirmatory evidence processing is abolished. We conclude that confidence shapes a selective neural gating for choice-consistent information, reducing the likelihood of changes of mind on the basis of new information. A central role for confidence in shaping the fidelity of evidence accumulation indicates that metacognitive interventions may help ameliorate this pervasive cognitive bias.

Suggested Citation

  • Max Rollwage & Alisa Loosen & Tobias U. Hauser & Rani Moran & Raymond J. Dolan & Stephen M. Fleming, 2020. "Confidence drives a neural confirmation bias," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16278-6
    DOI: 10.1038/s41467-020-16278-6
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    Citations

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    Cited by:

    1. Michael Vogrin & Guilherme Wood & Thomas Schmickl, 2023. "Confirmation Bias as a Mechanism to Focus Attention Enhances Signal Detection," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(1), pages 1-2.
    2. Cattaneo, Cristina & Grieco, Daniela, 2021. "Turning opposition into support to immigration: The role of narratives," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 785-801.
    3. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).
    4. Gruener, Sven, 2019. "An empirical study on Internet-based false news stories: experiences, problem awareness, and responsibilities," SocArXiv xbez9, Center for Open Science.
    5. Richard D Lange & Ankani Chattoraj & Jeffrey M Beck & Jacob L Yates & Ralf M Haefner, 2021. "A confirmation bias in perceptual decision-making due to hierarchical approximate inference," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-30, November.
    6. Sophie Beukelaer & Neza Vehar & Max Rollwage & Stephen M. Fleming & Manos Tsakiris, 2023. "Changing minds about climate change: a pervasive role for domain-general metacognition," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

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