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The Fake News Effect: Experimentally Identifying Motivated Reasoning Using Trust in News

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  • Michael Thaler

Abstract

Motivated reasoning posits that people distort how they process information in the direction of beliefs they find attractive. This paper creates a novel experimental design to identify motivated reasoning from Bayesian updating when people have preconceived beliefs. It analyzes how subjects assess the veracity of information sources that tell them the median of their belief distribution is too high or too low. Bayesians infer nothing about the source veracity, but motivated beliefs are evoked. Evidence supports politically-motivated reasoning about immigration, income mobility, crime, racial discrimination, gender, climate change, and gun laws. Motivated reasoning helps explain belief biases, polarization, and overconfidence.

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  • Michael Thaler, 2020. "The Fake News Effect: Experimentally Identifying Motivated Reasoning Using Trust in News," Papers 2012.01663, arXiv.org, revised May 2022.
    • Handle: RePEc:arx:papers:2012.01663
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    Cited by:

    1. Hagenbach, Jeanne & ,, 2022. "Motivated Skepticism," CEPR Discussion Papers 17478, C.E.P.R. Discussion Papers.
    2. Otálvaro-Ramírez, Susana & Scartascini, Carlos & Streb, Jorge M., 2025. "Transparency and Government Reputation: An Experiment on Signaling," IDB Publications (Working Papers) 13970, Inter-American Development Bank.
    3. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2022. "Do people demand fact-checked news? Evidence from U.S. Democrats," Journal of Public Economics, Elsevier, vol. 205(C).
    4. Michael Thaler, 2021. "The Supply of Motivated Beliefs," Papers 2111.06062, arXiv.org, revised Sep 2023.
    5. Thaler, Michael, 2021. "Gender differences in motivated reasoning," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 501-518.
    6. Jeanne Hagenbach & Nicolas Jacquemet & Philipp Sternal, 2024. "The motivated memory of noise," Documents de travail du Centre d'Economie de la Sorbonne 24010, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    7. Diego Marino Fages, 2024. "Motivated Forecasts: Experimental Evidence from the Presidential Elections in Argentina," Discussion Papers 2024-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    8. Schwarz, Anna & Warum, Philipp, 2024. "Don’t stop believin’: Income group heterogeneity in updating of social mobility beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 1-19.
    9. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    10. Brownback, Andy & Burke, Nathaniel & Gagnon-Bartsch, Tristan, 2024. "Inference from biased polls," Games and Economic Behavior, Elsevier, vol. 148(C), pages 449-486.
    11. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2021. "The Demand for Fact-Checking," CESifo Working Paper Series 9061, CESifo.
    12. Bandiera, Antonella & , Rojas Daniel, 2024. "Misinformation among Migrants: Evidence from Mexico and Colombia," OSF Preprints md42a, Center for Open Science.
    13. Jordi Brandts & Isabel Busom & Cristina Lopez-Mayan, 2024. "Do giving voice and social information help in revising a misconception about rent–control?," Working Papers wpdea2404, Department of Applied Economics at Universitat Autonoma of Barcelona.
    14. Michael Thaler, 2020. "Good News Is Not a Sufficient Condition for Motivated Reasoning," Papers 2012.01548, arXiv.org, revised Jan 2024.
    15. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Welfare Comparisons for Biased Learning," Cowles Foundation Discussion Papers 2274R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
    16. Barron, Kai & Becker, Anna & Huck, Steffen, 2025. "Motivated political reasoning: On the emergence of belief-value constellations," European Economic Review, Elsevier, vol. 172(C).
    17. repec:osf:osfxxx:md42a_v1 is not listed on IDEAS

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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