少数或多数最小群体在感知可信度方面的群体间偏差

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Journal of Experimental Social Psychology Pub Date : 2024-08-27 DOI:10.1016/j.jesp.2024.104668
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引用次数: 0

摘要

在多元化社会中,人们不可避免地会接触到越来越多的外群体。由于人们对外部群体的印象比对内部群体的印象更负面,这可能会在整体上导致更消极的社会态度和行为。在六个预先登记的实验中(总人数 = 1832),我们采用了最小群体范式,研究了群体数量是否会影响内群体、外群体和总人口的可信度。我们的研究结果一致表明,尽管外群体数量较多,但较高的多样性并不会降低整体人口的可信度。这是因为群体间的偏差更强,当外群体数量更多的时候,内群体的可信度判断会得到额外的提升。我们的实验表明,这些效应并不是由于客观的或感知的群体规模,也不是由于对群体定义属性的态度差异。相反,如果有更多的外群体,人们似乎会认为内群体成员与自己更相似,而高相似度与高感知可信度相关。
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Intergroup bias in perceived trustworthiness among few or many minimal groups

In diversifying societies, people are inevitably exposed to an increasing number of outgroups. As impressions of outgroups are more negative than those of ingroups, this may overall lead to more negative social attitudes and behaviors. In six preregistered experiments (Ntotal = 1832) using a minimal group paradigm, we investigated whether the mere number of groups influences the perceived trustworthiness of ingroups, outgroups, and the total population. Our results consistently show that higher diversity does not decrease overall population trustworthiness, despite a larger number of outgroups. This is because of a stronger intergroup bias such that ingroups receive an additional boost in trustworthiness judgments when there are more outgroups. Our experiments show that these effects are not due to objective or perceived group sizes or greater attitude differences toward the group-defining attributes. Instead, people seem to perceive members of their ingroup as more similar to themselves if there is a higher number of outgroups and high similarity is related to high perceived trustworthiness.

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来源期刊
CiteScore
6.30
自引率
2.90%
发文量
134
期刊介绍: The Journal of Experimental Social Psychology publishes original research and theory on human social behavior and related phenomena. The journal emphasizes empirical, conceptually based research that advances an understanding of important social psychological processes. The journal also publishes literature reviews, theoretical analyses, and methodological comments.
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