Towards a computational cognitive perspective of misinformation

Schulz, L; Schulz, E; Bhui, R; Dayan, P

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Meeting Abstract

Towards a computational cognitive perspective of misinformation

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Schulz, L
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Schulz, E
Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Dayan, P
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://nenaconference.files.wordpress.com/2021/10/abstractbook_nena2021.pdf
(Abstract)

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Citation

Schulz, L., Schulz, E., Bhui, R., & Dayan, P. (2021). Towards a computational cognitive perspective of misinformation. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists) (pp. 11).

Cite as: https://hdl.handle.net/21.11116/0000-0009-571B-8

Abstract

Misinformation presents a challenge to societies worldwide but the cognitive computations underlying its detection and use are only coarsely understood. In this talk, I will introduce a behavioural task and accompanying Bayesian models that allow us to study key aspects of the phenomenon and frame it as a learning problem about the trustworthiness of information providers. Alongside, I will present pilot data, highlighting participants' successes and failures.