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The impact of COVID‐19 and political identification on framing bias in an infectious disease experiment: The frame reigns supreme

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  • Amy M. Wolaver
  • John A. Doces

Abstract

Background Behavioral responses to the COVID‐19 pandemic have become highly polarized, and public health initiatives often try to use different frames to influence behavior. If the polarization of behaviors is related to differences in responses to frames, then different health messages could be targeted to different groups to influence behavior. Objective To determine whether risk preferences and susceptibility to gain/loss frames have been affected by COVID‐19 and whether they differ along partisan lines. Methods Using repeated cross‐sectional data from a nationally representative dataset in the United States replicating the disease outbreak scenario collected before and after the onset of COVID‐19, we test whether responsiveness to the gain/loss frames has changed over time and whether the responsiveness varies by political affiliation. Results The experimental results show that the risk preferences of the U.S. population is very susceptible to the framing of choices, consistent with the literature finding risk loving preferences under the loss frame and risk aversion under the gain frame. However, the experience of COVID‐19 does not appear to have changed the responsiveness, nor are there significant differences between conservatives/Republicans and liberals/Democrats. Conclusion Targeting different partisan groups with different risk‐related message frames is unlikely to be effective at altering behaviors.

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  • Amy M. Wolaver & John A. Doces, 2021. "The impact of COVID‐19 and political identification on framing bias in an infectious disease experiment: The frame reigns supreme," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2459-2471, November.
  • Handle: RePEc:bla:socsci:v:102:y:2021:i:6:p:2459-2471
    DOI: 10.1111/ssqu.13095
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    1. Ying Fan & A. Yeşim Orhun & Dana Turjeman, 2020. "Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic," NBER Working Papers 27211, National Bureau of Economic Research, Inc.
    2. Sanders, Michael & Stockdale, Emma & Hume, Susannah & John, Peter, 2021. "Loss aversion fails to replicate in the coronavirus pandemic: Evidence from an online experiment," Economics Letters, Elsevier, vol. 199(C).
    3. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    4. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    5. John Manuel Barrios & Yael V. Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," Working Papers 2020-32, Becker Friedman Institute for Research In Economics.
    6. James N. Druckman & Mary C. McGrath, 2019. "The evidence for motivated reasoning in climate change preference formation," Nature Climate Change, Nature, vol. 9(2), pages 111-119, February.
    7. Anton Gollwitzer & Cameron Martel & William J. Brady & Philip Pärnamets & Isaac G. Freedman & Eric D. Knowles & Jay J. Van Bavel, 2020. "Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 4(11), pages 1186-1197, November.
    8. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
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