Journal article
‘The economy is rigged’: inequality narratives, fairness, and support for redistribution in six countries
- Abstract:
- Do narratives about the causes of inequality influence support for redistribution? Scholarship suggests that information about levels of inequality does not easily shift redistributive attitudes. We embed information about inequality within a commentary article depicting the economy as being rigged to advantage elites, a common populist narrative of both the left and right. Drawing on the media effects and political economy literatures, we expect articles employing narratives that portray inequality as the consequence of systemic unfairness to increase demands for redistribution. We test this proposition via an online survey experiment with 7,426 respondents in Australia, France, Germany, Switzerland, the United Kingdom, and the United States. Our narrative treatment significantly increases attitudes favoring redistribution in five of the countries. In the US the treatment has no effect. We consider several reasons for the non-result in the US – highlighting beliefs about government inefficiency – and conclude by discussing general implications of our findings.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.2MB, Terms of use)
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- Publisher copy:
- 10.1177/00104140241252072
Authors
- Publisher:
- SAGE Publications
- Journal:
- Comparative Political Studies More from this journal
- Publication date:
- 2024-05-13
- Acceptance date:
- 2024-03-14
- DOI:
- EISSN:
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1552-3829
- ISSN:
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0010-4140
- Language:
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English
- Keywords:
- Pubs id:
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1842522
- Local pid:
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pubs:1842522
- Deposit date:
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2024-03-18
Terms of use
- Copyright holder:
- Culpepper et al.
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Licence:
- CC Attribution (CC BY)
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