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Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Ester Faia, Andreas Fuster, Vincenzo Pezone and Basit Zafar
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Vincenzo Pezone: Tilburg University
Basit Zafar: University of Michigan and NBER

The Review of Economics and Statistics, 2024, vol. 106, issue 3, 829-847

Abstract: We conduct two survey experiments to study which information people choose to consume and how it affects their beliefs. In the first experiment, respondents choose between optimistic and pessimistic article headlines related to the COVID-19 pandemic and are then randomly shown one of the articles. Respondents with more pessimistic prior beliefs tend to prefer pessimistic headlines, providing evidence of confirmation bias. Additionally, respondents assigned to the less preferred article discount its information. The second experiment studies the role of partisan views, uncovering strong source dependence: news source revelation further distorts information acquisition, eliminating the role of priors in article choice.

Date: 2024
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https://doi.org/10.1162/rest_a_01187
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Related works:
Working Paper: Biases in information selection and processing: Survey evidence from the pandemic (2024) Downloads
Working Paper: Biases in Information Selection and Processing: Survey Evidence from the Pandemic (2021) Downloads
Working Paper: Biases in Information Selection and Processing: Survey Evidence from the Pandemic (2021) Downloads
Working Paper: Biases in information selection and processing: Survey evidence from the pandemic (2021) Downloads
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The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

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