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      Partisanship and Autocratization: Polarization, Power Asymmetry, and Partisan Social Identities in Turkey

      1 , 2
      Comparative Political Studies
      SAGE Publications

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          Abstract

          Although theories of partisanship were developed for the democratic context, partisanship can be important in electoral autocracies as well. We use survey data to analyze partisanship in an electoral autocracy, Turkey, and find that partisanship is pervasive, strong, and consequential. Using the Partisan Identity Scale to measure partisanship, we show that, like in democracies, partisanship strength is associated with political attitudes and action. Unlike in democracies, however, the ruling party’s superior ability to mobilize supporters through clientelistic linkages makes the association between partisanship and political action weaker for ruling party partisans. We find that partisan identities are tightly connected to the perception that other parties may threaten one’s well-being, and that such fears are widespread on both sides of the political divide. We interpret our findings in light of the autocratization process Turkey went through. Our contribution highlights the potential of integrating regime dynamics in studies of partisanship.

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          Competitive Authoritarianism

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            Thinking About Hybrid Regimes

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              Voting for Autocracy

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Comparative Political Studies
                Comparative Political Studies
                SAGE Publications
                0010-4140
                1552-3829
                February 2021
                June 14 2020
                February 2021
                : 54
                : 2
                : 245-279
                Affiliations
                [1 ]Yale University, New Haven, CT, USA
                [2 ]Syracuse University, NY, USA
                Article
                10.1177/0010414020926199
                25f40f00-f7bb-4392-8b80-d97c0cede73f
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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