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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Counter-stereotypes reduce bias intergroup emotions and improve intergroup attitudes

Authors: PRATI, FRANCESCA; RUBINI, MONICA;

Counter-stereotypes reduce bias intergroup emotions and improve intergroup attitudes

Abstract

Research has shown the beneficial role of counter-stereotypic categorization on prejudice reduction at the cognitive level. However, because stereotypes also drive emotions, in three experiments we asked: Could counter-stereotypes reduce the expression of biased emotions? In Experiment 1, gender counter-stereotypic categorization attenuated the expression of biased emotions towards females and males. In Experiment 2, nationality counter-stereotypic categorization reduced the expression of biased emotions towards a highly discriminated outgroup, like that of Romanians. Importantly, the attenuation of biased emotions following counter-stereotypic primes was mediated via decreased contempt. In Experiment 3, counter-stereotypic categorization improved not only perceivers’ intergroup emotions, but also the attribution of uniquely human emotions to the targets. Furthermore, the attribution of uniquely human emotions following counter-stereotypic primes was mediated via perceivers’ surprise (of the counter-stereotypic exemplar). We discuss the importance of considering intergroup emotions as an outcome of counter-stereotypic categorization

Country
Italy
Keywords

counter-stereotypic categorization, emotion, stereotyping

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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