4.5 Article

No convincing evidence outgroups are denied uniquely human characteristics: Distinguishing intergroup preference from trait-based dehumanization

期刊

COGNITION
卷 212, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.cognition.2021.104682

关键词

Dehumanization; Intergroup bias; Prejudice; Social cognition

资金

  1. European Research Council under the European Union's Horizon 2020 Programme [ERC-STG-755719]

向作者/读者索取更多资源

Studies show that individuals are more likely to attribute positive human traits to ingroup members, while attributing negative human traits more strongly to outgroup members. This pattern holds across different intergroup contexts and challenges the value of a trait-based account of representing others as 'less human' in intergroup bias research.
According to the dual model, outgroup members can be dehumanized by being thought to possess uniquely and characteristically human traits to a lesser extent than ingroup members. However, previous research on this topic has tended to investigate the attribution of human traits that are socially desirable in nature such as warmth, civility and rationality. As a result, it has not yet been possible to determine whether this form of dehumanization is distinct from intergroup preference and stereotyping. We first establish that participants associate undesirable (e.g., corrupt, jealous) as well as desirable (e.g., open-minded, generous) traits with humans. We then go on to show that participants tend to attribute desirable human traits more strongly to ingroup members but undesirable human traits more strongly to outgroup members. This pattern holds across three different intergroup contexts for which dehumanization effects have previously been reported: political opponents, immigrants and criminals. Taken together, these studies cast doubt on the claim that a trait-based account of representing others as 'less human' holds value in the study of intergroup bias.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据