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      Politicians polarize and experts depolarize public support for COVID-19 management policies across countries

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          Significance

          Political polarization impeded public support for policies to address the spread of COVID-19, much as polarization hinders responses to other societal challenges. The present cross-country study demonstrates how the cues from political elites and affective polarization are analogous across countries addressing COVID-19. Far from being an outlier, the United States faces polarization challenges similar to those of other countries. Importantly, the results demonstrate that policies to combat public health crises are more supported when proposed by nonpartisan experts and bipartisan coalitions of political leaders. These results provide clear guidance on depolarizing communication strategies to improve global responses to health crises.

          Abstract

          Political polarization impeded public support for policies to reduce the spread of COVID-19, much as polarization hinders responses to other contemporary challenges. Unlike previous theory and research that focused on the United States, the present research examined the effects of political elite cues and affective polarization on support for policies to manage the COVID-19 pandemic in seven countries ( n = 12,955): Brazil, Israel, Italy, South Korea, Sweden, the United Kingdom, and the United States. Across countries, cues from political elites polarized public attitudes toward COVID-19 policies. Liberal and conservative respondents supported policies proposed by ingroup politicians and parties more than the same policies from outgroup politicians and parties. Respondents disliked, distrusted, and felt cold toward outgroup political elites, whereas they liked, trusted, and felt warm toward both ingroup political elites and nonpartisan experts. This affective polarization was correlated with policy support. These findings imply that policies from bipartisan coalitions and nonpartisan experts would be less polarizing, enjoying broader public support. Indeed, across countries, policies from bipartisan coalitions and experts were more widely supported. A follow-up experiment replicated these findings among US respondents considering international vaccine distribution policies. The polarizing effects of partisan elites and affective polarization emerged across nations that vary in cultures, ideologies, and political systems. Contrary to some propositions, the United States was not exceptionally polarized. Rather, these results suggest that polarizing processes emerged simply from categorizing people into political ingroups and outgroups. Political elites drive polarization globally, but nonpartisan experts can help resolve the conflicts that arise from it.

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          Most cited references59

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          The effect of large-scale anti-contagion policies on the COVID-19 pandemic

          Governments around the world are responding to the coronavirus disease 2019 (COVID-19) pandemic1, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with unprecedented policies designed to slow the growth rate of infections. Many policies, such as closing schools and restricting populations to their homes, impose large and visible costs on society; however, their benefits cannot be directly observed and are currently understood only through process-based simulations2-4. Here we compile data on 1,700 local, regional and national non-pharmaceutical interventions that were deployed in the ongoing pandemic across localities in China, South Korea, Italy, Iran, France and the United States. We then apply reduced-form econometric methods, commonly used to measure the effect of policies on economic growth5,6, to empirically evaluate the effect that these anti-contagion policies have had on the growth rate of infections. In the absence of policy actions, we estimate that early infections of COVID-19 exhibit exponential growth rates of approximately 38% per day. We find that anti-contagion policies have significantly and substantially slowed this growth. Some policies have different effects on different populations, but we obtain consistent evidence that the policy packages that were deployed to reduce the rate of transmission achieved large, beneficial and measurable health outcomes. We estimate that across these 6 countries, interventions prevented or delayed on the order of 61 million confirmed cases, corresponding to averting approximately 495 million total infections. These findings may help to inform decisions regarding whether or when these policies should be deployed, intensified or lifted, and they can support policy-making in the more than 180 other countries in which COVID-19 has been reported7.
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            The Nature and Origins of Mass Opinion

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              The Origins and Consequences of Affective Polarization in the United States

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                18 January 2022
                18 January 2022
                18 January 2022
                : 119
                : 3
                : e2117543119
                Affiliations
                [1] aDepartment of Psychology & Neuroscience, University of Colorado Boulder , Boulder, CO 80309;
                [2] bClimate Change Research Network, Vanderbilt University , Nashville, TN 37203;
                [3] cSchool of Business and Management, Queen Mary University of London , London E1 4NS, United Kingdom;
                [4] dDepartment of Psychology, University of Klagenfurt 9020 Klagenfurt, Austria;
                [5] eSchool of Social Sciences, Singapore Management University , Singapore 188065;
                [6] fSchool of Psychology, Swansea University , Swansea SA2 8PP, United Kingdom;
                [7] gDepartment of Education, Ben-Gurion University of the Negev , Be’er Sheva 8400711, Israel;
                [8] hDecision Research , Eugene, OR 97401;
                [9] iDepartment of Marketing, Ivy College of Business, Iowa State University , Ames, IA 50011;
                [10] jDepartment of Developmental Psychology and Socialization, University of Padua 35131 Padua, Italy;
                [11] kDepartment of Psychological & Brain Sciences, University of California , Santa Barbara, CA 93106;
                [12] lDepartment of Psychology, University of Oregon , Eugene, OR 97403;
                [13] mDepartment of Behavioural Sciences and Learning, Division of Psychology, Linköping University SE-581 83 Linköping, Sweden
                Author notes
                2To whom correspondence may be addressed. Email: pslovic@ 123456uoregon.edu or vanboven@ 123456colorado.edu .

                Contributed by Paul Slovic; received September 24, 2021; accepted November 25, 2021; reviewed by Jonathan Schuldt and Keith Stanovich

                Author contributions: A.F., J.C.C., S.D., K.E., G.M.J.-B., T.K., R.L., M.M., E.J.P., B.P., E.R., D.K.S., P.S., D.V., and L.V.B. designed research; A.F., J.C.C., E.J.P., and L.V.B. performed research; A.F., J.C.C., E.J.P., and L.V.B. analyzed data; and A.F., J.C.C., and L.V.B. wrote the paper. All authors reviewed and commented on manuscript drafts.

                1A.F. and J.C.C. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-3163-8798
                https://orcid.org/0000-0001-8652-5112
                https://orcid.org/0000-0001-5471-0655
                https://orcid.org/0000-0002-1091-0943
                https://orcid.org/0000-0002-7521-755X
                https://orcid.org/0000-0002-7473-6403
                https://orcid.org/0000-0003-4187-8779
                Article
                202117543
                10.1073/pnas.2117543119
                8784107
                35042779
                a108226b-8f4c-4f65-8fd3-a1e8f3986bc2
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 25 November 2021
                Page count
                Pages: 7
                Funding
                Funded by: National Science Foundation (NSF) 100000001
                Award ID: 2029183
                Award Recipient : Marcus Mayorga Award Recipient : Leaf Van Boven
                Categories
                431
                535
                Social Sciences
                Psychological and Cognitive Sciences
                Custom metadata
                free

                covid-19,cross-country comparisons,political polarization,affective polarization,expertise

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