Stereotyping plays an important role in how we perceive the members of social groups. Yet stereotyping is complicated by
A growing body of scholarship documents the intersectional nature of social stereotyping, with stereotype content being shaped by a target person's multiple social identities. However, conflicting findings in this literature highlight the need for a broader theoretical integration. For example, although there are contexts in which perceivers stereotype gay Black men and heterosexual Black men in very different ways, so too are there contexts in which perceivers stereotype these men in very similar ways. We develop and test an explanation for contradictory findings of this sort. In particular, we argue that perceivers have a repertoire of lenses in their minds-identity-specific schemas for categorizing others-and that characteristics of the perceiver and the social context determine which one of these lenses will be used to organize social perception. Perceivers who are using the lens of race, for example, are expected to attend to targets' racial identities so strongly that they barely attend, in these moments, to targets' other identities (e.g., their sexual orientations). Across six experiments, we show (a) that perceivers tend to use just one lens at a time when thinking about others, (b) that the lenses perceivers use can be singular and simplistic (e.g., the lens of gender by itself) or intersectional and complex (e.g., a race-by-gender lens, specifically), and (c) that different lenses can prescribe categorically distinct sets of stereotypes that perceivers use as frameworks for thinking about others. This lens-based account can resolve apparent contradictions in the literature on intersectional stereotyping, and it can likewise be used to generate novel hypotheses.
In the United States, leaders of the highest valued companies, best-ranked universities, and most-consumed media outlets are more likely to be White than what would be expected based on White people’s representation in the U.S. population. One explanation for this racial gap is that U.S. respondents’ prototype of a leader is White by default—which is, in turn, what causes White (vs. non-White) people to be promoted up the organizational ladder more quickly. Although this explanation has empirical support, its central premise was recently challenged by experimental evidence documenting that U.S. respondents no longer associate leaders, more than nonleaders, with being White. To reconcile these contradictory findings, we conducted three preregistered experiments (N = 1,316) on the topic of whether leaders, more than nonleaders, continue to be associated with Whiteness (i.e., being categorized as White or being represented with stereotypically White qualities). Results suggest that associations between leaders and Whiteness hold up to scrutiny, but that detecting them may depend on what methods researchers employ. In particular, when researchers use direct methods of detecting racial assumptions (e.g., self-report measures), there appears to be no evidence of an association between leaders and Whiteness (Experiment 1). Yet, when researchers use more indirect methods of detecting racial assumptions (e.g., a Princeton trilogy task), an association between leaders and Whiteness readily emerges (Experiments 2 and 3). In short, although respondents refrain from freely expressing associations they may harbor between leaders and Whiteness, these associations do not appear to have dissipated with time.
The concept of rural consciousness has gained a significant amount of traction over the past several years, as evidenced by hundreds of citations and its inclusion within the most recent pilot of the ANES. However, many have questioned whether rural consciousness is appreciably different from racial prejudice. We assessed this issue by distributing a survey study to Wisconsinites living in rural and urban communities, and by examining the relationships between rural consciousness, racial resentment, and political attitudes in the ANES 2019 Pilot Study. The survey study revealed that participants living in rural parts of Wisconsin—unlike those living in urban parts—tended to think of city dwellers as possessing more negative attributes. In addition, the survey study revealed that rural participants thought of Milwaukeeans, specifically, as possessing stereotypically Black attributes. Moreover, this tendency was starker among those who scored higher on a measure of rural consciousness, suggesting that rural consciousness is related to racial stereotyping. Finally, in an analysis of the ANES 2019 Pilot Study, we found that rural consciousness correlated with racial resentment, and that controlling for racial resentment dramatically reduced the extent to which rural consciousness could predict political preferences (e.g., approval for Donald Trump). Thus, while white rural consciousness may not be reducible to racism, racism certainly plays a central role.
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