Political Science

The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies

L. Freira, M. Sartorio, et al.

This study, conducted by Lucia Freira, Marco Sartorio, Cynthia Boruchowicz, Florencia Lopez Boo, and Joaquin Navajas, explores how partisan biases affect perceptions of COVID-19 death forecasts and support for preventive measures. The findings reveal that partisanship significantly influences optimism regarding death forecasts, while effective communication about pandemic severity may not bolster support for urgent policies.

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Abstract

This study investigates the relationship between partisanship, predicted COVID-19 deaths, and support for preventive measures. Through four experiments conducted in Argentina, Uruguay, Brazil, and the United States, the researchers tested whether partisan differences in policy support are linked to differences in death forecasts. The results consistently showed that partisanship was a significant predictor of both the optimism of death forecasts and the level of support for COVID-19 policies, but the number of forecasted deaths was not correlated with policy support. This suggests that even effective communication strategies highlighting pandemic severity may not increase support for preventive measures due to strong partisan biases.

Publisher

Humanities and Social Sciences Communications

Published On

Aug 03, 2021

Authors

Lucia Freira, Marco Sartorio, Cynthia Boruchowicz, Florencia Lopez Boo, Joaquin Navajas

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