As a 2016 presidential candidate, Donald J. Trump invoked racially charged rhetoric to galvanize conservative white voters who felt left behind in the “new economy.” In this article, we ask whether Trump’s ability to attract electoral support in that way was linked to local histories of racist mob violence. We use county-level data on threatened and completed lynchings of Black people to predict support for Trump in the 2016 Republican presidential primary and general election across eleven southern states. We find that fewer voters cast their ballots for Trump in counties that had suppressed a comparatively larger share of potentially lethal episodes of racist mob violence. Supplementary analyses suggest that counties’ histories of violence are also related to their electoral support for Republican presidential candidates more broadly. We posit that this correlation points to the durable effects of racist violence on local cultures and the imprint of community histories on the social environment.
Much scholarship across the humanities and social sciences seek to shed light on the intersection of far-right politics and social media platforms. Yet, scholars tend to focus on racist actors and the ideological underpinnings of platform policies while the contingencies that shape the experiences of content reviewers who make decisions about racist content remain underexamined. This article fills this gap by exploring such contingencies from a linguistic anthropological perspective. Drawing on Facebook moderators’ stories, I illustrate the factors adjacent to, and beyond, ideology that animate the adjudication of racist hate speech.
more » « less- Award ID(s):
- 1928627
- PAR ID:
- 10371762
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- New Media & Society
- Volume:
- 26
- Issue:
- 8
- ISSN:
- 1461-4448
- Format(s):
- Medium: X Size: p. 4454-4470
- Size(s):
- p. 4454-4470
- Sponsoring Org:
- National Science Foundation
More Like this
-
more » « less
-
more » « less
Urban areas are dynamic ecological systems defined by interdependent biological, physical, and social components. The emergent structure and heterogeneity of urban landscapes drives biotic outcomes in these areas, and such spatial patterns are often attributed to the unequal stratification of wealth and power in human societies. Despite these patterns, few studies have effectively considered structural inequalities as drivers of ecological and evolutionary outcomes and have instead focused on indicator variables such as neighborhood wealth. In this analysis, we explicitly integrate ecology, evolution, and social processes to emphasize the relationships that bind social inequities—specifically racism—and biological change in urbanized landscapes. We draw on existing research to link racist practices, including residential segregation, to the heterogeneous patterns of flora and fauna observed by urban ecologists. In the future, urban ecology and evolution researchers must consider how systems of racial oppression affect the environmental factors that drive biological change in cities. Conceptual integration of the social and ecological sciences has amassed considerable scholarship in urban ecology over the past few decades, providing a solid foundation for incorporating environmental justice scholarship into urban ecological and evolutionary research. Such an undertaking is necessary to deconstruct urbanization’s biophysical patterns and processes, inform equitable and anti-racist initiatives promoting justice in urban conservation, and strengthen community resilience to global environmental change.
-
Galak, Jeff (Ed.)more » « less
We investigate perceptions of tweets marked with the #BlackLivesMatter and #AllLivesMatter hashtags, as well as how the presence or absence of those hashtags changed the meaning and subsequent interpretation of tweets in U.S. participants. We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. Our results have implications for our understanding of how social identity, and particularly political identity, shapes how individuals perceive and engage with the world.
-
null (Ed.)Abstract For most of the scientific disciplines associated with coastal and estuarine research, workforce representation does not match the demographics of communities we serve, especially for Black, Hispanic or Latino, and Indigenous peoples. This essay provides an overview of this inequity and identifies how a scientific society can catalyze representational, structural, and interactional diversity to achieve greater inclusion. Needed changes go beyond representational diversity and require an intentional commitment to build capacity through inclusivity and community engagement by supporting anti-racist policies and actions. We want to realize a sense of belonging on the part of scientists in society at large and enable research pursuits through a lens of social justice in service of coastal communities. Minimally, this framework offers an avenue for increased recruitment of individuals from more diverse racial and ethnic identities. More broadly, the mechanisms described here aim to create a culture in scientific societies in which social justice, driven by anti-racist actions, produces systemic change in how members of scientific societies approach, discuss, and address issues of inequity. We have written this essay for members of the coastal and marine science community who are interested in change. We aim to call in new voices, allies, and champions to this work.more » « less
-
This study explores the prevalence of deficit and anti-deficit discourses among elementary teachers in the US and their relationship to racist and sexist beliefs about mathematics learning. By combining attribution theory and equity scholarship, the research investigates the endorsement of these discourses through survey data. Findings reveal that both deficit and anti-deficit discourses are common among teachers and strongly related to the endorsement of racist/sexist and anti-racist/anti-sexist statements about mathematics learning. Surprisingly, belief in innate mathematical ability is associated with greater endorsement of anti-racist/anti-sexist educational statements, while belief in educational opportunity is not significantly associated with lesser endorsement of racist and sexist statements. The study emphasizes the need for teacher education to address these tangled discourses and suggests that anti-deficit discourses alone may be insufficient to dismantle deficit discourses in mathematics education.more » « less
