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      Self-Affirmation and Identity-Driven Political Behavior

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          Abstract

          Psychological attachment to political parties can bias people’s attitudes, beliefs, and group evaluations. Studies from psychology suggest that self-affirmation theory may ameliorate this problem in the domain of politics on a variety of outcome measures. We report a series of studies conducted by separate research teams that examine whether a self-affirmation intervention affects a variety of outcomes, including political or policy attitudes, factual beliefs, conspiracy beliefs, affective polarization, and evaluations of news sources. The different research teams use a variety of self-affirmation interventions, research designs, and outcomes. Despite these differences, the research teams consistently find that self-affirmation treatments have little effect. These findings suggest considerable caution is warranted for researchers who wish to apply the self-affirmation framework to studies that investigate political attitudes and beliefs. By presenting the “null results” of separate research teams, we hope to spark a discussion about whether and how the self-affirmation paradigm should be applied to political topics.

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          Most cited references47

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          The Nature and Origins of Mass Opinion

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            Motivated Skepticism in the Evaluation of Political Beliefs

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              The Origins and Consequences of Affective Polarization in the United States

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Experimental Political Science
                J Exp Polit Sci
                Cambridge University Press (CUP)
                2052-2630
                2052-2649
                February 08 2021
                : 1-16
                Article
                10.1017/XPS.2020.46
                d7c9d023-f1d3-4937-b300-83d006a55f54
                © 2021

                https://www.cambridge.org/core/terms

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