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Testing the efficacy of three informational interventions for reducing misperceptions of the Black-White wealth gap.
Callaghan, Bennett; Harouni, Leilah; Dupree, Cydney H; Kraus, Michael W; Richeson, Jennifer A.
  • Callaghan B; Stone Center on Socio-Economic Inequality, City University of New York, New York, NY 10016.
  • Harouni L; School of Management, Yale University, New Haven, CT 06511.
  • Dupree CH; School of Management, Yale University, New Haven, CT 06511.
  • Kraus MW; School of Management, Yale University, New Haven, CT 06511; michael.kraus@yale.edu.
  • Richeson JA; Department of Psychology, Yale University, New Haven, CT 06511.
Proc Natl Acad Sci U S A ; 118(38)2021 09 21.
Article en En | MEDLINE | ID: mdl-34518229
ABSTRACT
Americans remain unaware of the magnitude of economic inequality in the nation and the degree to which it is patterned by race. We exposed a community sample of respondents to one of three interventions designed to promote a more realistic understanding of the Black-White wealth gap. The interventions conformed to recommendations in messaging about racial inequality drawn from the social sciences yet differed in how they highlighted data-based trends in Black-White wealth inequality, a single personal narrative, or both. Data interventions were more effective than the narrative in both shifting how people talk about racial wealth inequality-eliciting less speech about personal achievement-and, critically, lowering estimates of Black-White wealth equality for at least 18 mo following baseline, which aligned more with federal estimates of the Black-White wealth gap. Findings from this study highlight how data, along with current recommendations in the social sciences, can be leveraged to promote more accurate understandings of the magnitude of racial inequality in society, laying the necessary groundwork for messaging about equity-enhancing policy.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Racismo Límite: Female / Humans / Male País como asunto: America do norte Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Racismo Límite: Female / Humans / Male País como asunto: America do norte Idioma: En Año: 2021 Tipo del documento: Article