Information, partisanship, and preferences in a pandemic.

COVID-19 behavioral economics beliefs expectations information treatment media political polarization

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 29 09 2022
accepted: 13 02 2023
medline: 28 3 2023
entrez: 27 3 2023
pubmed: 28 3 2023
Statut: epublish

Résumé

We investigate the role of information exposure in shaping attitudes and behaviors related to the SARS-CoV-2 (COVID-19) pandemic and whether baseline political affiliation and news diet mediate effects. In December 2020, we randomly assigned 5,009 U.S. adults to nine brief text-based segments related to the dynamics of the pandemic and the safety of various behaviors, estimating the effects on 15 binary outcomes related to COVID-19 policy preferences, expected consumer behavior, and beliefs about safety. Average effects reach significance (95% CI) in 47 out of 120 models and equal 7.4 ppt. The baseline effects are large for all outcomes except beliefs. By contrast, interaction effects by political party and media diet are significant for beliefs but rarely significant for policy and behavioral attitudes. These findings suggest partisan policy and behavioral gaps are driven, at least in part, by exposure to different information and that equalizing information sources would lead to partisan convergence in beliefs.

Identifiants

pubmed: 36969667
doi: 10.3389/fpubh.2023.1019206
pmc: PMC10031094
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1019206

Informations de copyright

Copyright © 2023 Rothwell, Makridis, Ramirez and Desai.

Déclaration de conflit d'intérêts

JR was employed by Gallup. SD was employed by Franklin Templeton. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Public Econ. 2020 Nov;191:104254
pubmed: 32836504
JAMA Netw Open. 2020 Jun 1;3(6):e2012403
pubmed: 32556260
JAMA Netw Open. 2021 Jul 1;4(7):e2117115
pubmed: 34259846
PLoS One. 2015 Apr 21;10(4):e0123507
pubmed: 25897956
Sci Adv. 2020 Nov 6;6(45):
pubmed: 33158856
Sci Adv. 2020 Jan 29;6(5):eaaw7449
pubmed: 32064329

Auteurs

Jonathan T Rothwell (JT)

Gallup, Washington, DC, United States.
Institute of Public Policy, George Washington University, Washington, DC, United States.
Metropolitan Policy Program, Brookings Institution, Washington, DC, United States.

Christos Andreas Makridis (CA)

Chazen Institute in Columbia Business School, Columbia University, New York, NY, United States.
Digital Economy Lab, Stanford University, Stanford, CA, United States.

Christina Michelle Ramirez (CM)

Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.

Sonal Desai (S)

Fixed Income, Franklin Templeton Investments, New York, NY, United States.

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Classifications MeSH