5 years ago

Bias at the intersection of identity: Conflicting social stereotypes of gender and race augment the perceived femininity and interpersonal warmth of smiling Black women

Research indicates that Black women are socially ignored given that they are neither the prototypical Black person nor the prototypical woman. We build from augmentation principle to propose that factors that increase the salience of Black women's gender identity may lead to particularly positive social expectations given countervailing associations of Blackness/threat. First, Study 1 demonstrates that smiles increase the salience of Black women's gender identity as indicated by fewer categorization errors in a speeded gender categorization task. Next, Study 2 demonstrates that, consistent with augmentation principle, the expression of a smile increases the perceived femininity of a Black woman to a greater degree than a smile expressed by a White woman. Moreover, smiles increase positive expectations for an interaction with a Black woman more so than they do for a White woman. We conclude that Black women navigate a precarious balance between social invisibility and social hypervisibility based on shifts in the salience of their gender identity.

Publisher URL: www.sciencedirect.com/science

DOI: S0022103117302925

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.