Van Bavel Jay J, Cunningham William A
The Ohio State University, Department of Psychology, 1827 Neil Avenue, Columbus, OH 43210, USA.
Pers Soc Psychol Bull. 2009 Mar;35(3):321-35. doi: 10.1177/0146167208327743. Epub 2008 Dec 19.
People perceive and evaluate others according to social categories. Yet social perception is complicated by the fact that people have multiple social identities, and self-categorization with these identities shifts from one situation to another. Two experiments examined whether self-categorization with a novel mixed-race group would override automatic racial bias. Participants assigned to a mixed-race group had more positive automatic evaluations of Black ingroup than Black outgroup members. Comparing these evaluations to Black and White faces unaffiliated with either group indicated this preference was driven by ingroup bias rather than outgroup derogation. Moreover, both outgroup and unaffiliated faces elicited automatic racial bias (White > Black), suggesting that automatic evaluations are sensitive to both the current intergroup context (positive evaluations of novel ingroup members) and race (racial bias toward outgroup and unaffiliated faces). These experiments provide evidence that self-categorization can override automatic racial bias and that automatic evaluations shift between and within social contexts.
人们会根据社会类别来感知和评价他人。然而,社会认知因人们具有多种社会身份这一事实而变得复杂,并且与这些身份的自我分类会因情境不同而发生变化。两项实验检验了与一个新的混血群体的自我分类是否会克服自动的种族偏见。被分配到混血群体的参与者对本群体内的黑人的自动评价比对群体外黑人的评价更积极。将这些评价与与两个群体都无关联的黑人和白人面孔进行比较表明,这种偏好是由群体内偏见而非群体外诋毁驱动的。此外,群体外面孔和无关联面孔都会引发自动的种族偏见(白人>黑人),这表明自动评价对当前的群体间情境(对新的群体内成员的积极评价)和种族(对群体外和无关联面孔的种族偏见)都很敏感。这些实验提供了证据,证明自我分类可以克服自动的种族偏见,并且自动评价会在社会情境之间以及情境内部发生变化。