Implicit Racial and Gender Bias About Handguns: A New Implicit Association Test

This study measured implicit and explicit racial bias about women and handguns and addressed important perceptions and stereotypes about gun competence and victimization that vary based on race and gender. We administered a national survey to 1,000 US adults using a new Race-Women-Handguns Implicit Association Test (IAT). Survey weighting was used to generate nationally representative estimates on the prevalence of implicit racial bias about women with handguns. The majority of participants (62.5%) associated Black women with handguns and White women with smartphones (weighted-mean IAT = 0.252; 95% CI [0.227, 0.276]) reflecting an anti-Black bias among US adults that is stereotype consistent associating Black women with handguns and White women with smartphones. The proportion that indicated Black and White women were competent with handguns was low (21.6% and 22.4%, respectively), and the proportion of US adults who indicated Black women are more likely to experience intimate partner violence (range: 19.4%-22.9%) and sexual harassment/assault (range: 11.4%-20.4%) was low compared to the prevalence of both forms of violence US among Black women that may impact the decision to possess a handgun. These findings suggest there is an anti-Black implicit bias about women with handguns (associating Black women with handguns) among US adults and support the need for further research measuring racism in systems and structures that intersect with gun possession.

The role of mentalizing capacity and ecological language diversity on irony comprehension in bilingual adults

Diverse bilingual experiences have implications for language comprehension, including pragmatic elements such as verbal irony. Irony comprehension is shaped by an interplay of linguistic, cognitive, and social factors, including individual differences in bilingual experience. We examined the relationship between individual differences related to bilingualism, specifically, the capacity to understand others' mental states and ambient exposure to language diversity, on irony comprehension. We tested 54 healthy bilingual adults, living in a linguistically diverse region-Montréal, Canada-on an irony comprehension task. This task involved reading positive and negative short stories that concluded with an ironic or literal statement, which were rated on appropriateness and perceived irony. While both irony forms were rated as less appropriate and more ironic than literal statements, ironic criticisms (following a negative context) were rated as more appropriate and higher in perceived irony than ironic compliments (following a positive context). As expected, these ratings varied as a function of individual differences in mentalizing and neighborhood language diversity. Greater mentalizing patterned with more appropriate ratings to ironic statements in high language diversity neighborhoods and with less appropriate ratings to ironic statements in low language diversity neighborhoods. Perceived irony ratings to ironic compliments increased with mentalizing as neighborhood language diversity increased. These results indicate that pragmatic language comprehension and its social cognitive underpinnings may be environmentally contextualized processes.

Implicit bias reflects systemic racism

Implicit bias refers to automatically evoked mental associations about social groups. The idea has been influential across the social sciences as a way to explain persistent racial disparities amid changing self-report attitudes. Most research has treated implicit bias as an individual attitude. However, evidence suggests that it is neither a stable individual difference nor a strong correlate of individual behavior. Moreover, the individual-focused approach can lead researchers to neglect systemic racism as a cause of persistent disparities. We argue that implicit bias can be considered a cognitive reflection of systemic racism in the environment. In this view, implicit bias is an ongoing set of associations based on inequalities and stereotypes in the environment. As such, implicit bias changes when contexts change.

Would that it were so simple: Dimensions of context diversity differentially relate to four implicit interethnic associations

Published studies point to heterogeneity in the relations between context diversity and implicit associations. To rule out methodological variations as an explanation, the relations between three dimensions of context diversity and four implicit associations were examined across 747 counties and 341 metropolitan areas, keeping constant as many factors as possible. Black people were evaluated more positively and were less associated with weapons in contexts with higher variety or higher integration combined with lower minority representation. Asian and Native Americans were more strongly associated with the American identity in contexts with higher minority representation and higher variety. These effects were largely consistent across context type, were seldom moderated by participant ethnicity, and held when controlling context-level education, median income, economic inequalities, proportion of U.S. citizens, and population density. The specificity of context diversity to implicit association relations is not attributable to methodological variations. Possible mechanisms underlying these effects are discussed.

Temporal fluctuations in context ethnic diversity over three decades predict implicit national inclusion of Asian Americans

The present research examined whether temporal fluctuations in context ethnic diversity account for current levels of implicit ethnic-American associations. Temporal fluctuations in ethnic diversity at the metropolitan level were assessed using data from four decennial U.S. censuses (1980–2010) and distinguishing three dimensions of context ethnic diversity (minority representation, variety, and integration). Project Implicit data (2011–2017) indexed the extent to which American identity was implicitly associated with European Americans over Asian Americans (i.e., American = White associations). Data were analyzed using multilevel modeling ( N = 152,011, nested within 226 metropolitan areas). Steeper increases in the proportion of Asian Americans were related to weaker implicit (but stronger explicit) American = White associations. Increases in ethnic integration accounted for stronger implicit American = White associations when integration fluctuations reflected accelerating rather than decelerating trends. These results suggest that current levels of implicit ethnic-national associations are linked to complex patterns of ethnic diversity fluctuations.