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This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed by shifts in public sentiment toward Black people. Methods : Google searches for the names “Ahmaud Arbery,” “Breonna Taylor,” and “George Floyd” were obtained from the Google Health Application Programming Interface (API). Using the Twitter API, we collected a 1% random sample of publicly available U.S. race-related tweets from November 2019–September 2020 (N = 3,380,616). Sentiment analysis was performed using Support Vector Machines, a supervised machine learning model. A qualitative content analysis was conducted on a random sample of 3,000 tweets to understand themes in discussions of race and racism and inform interpretation of the quantitative trends. Results: The highest rate of Google searches for any of the three names was for George Floyd during the week of May 31 to June 6, the week after his murder. The percent of tweets referencing Black people that were negative decreased by 32% (from 49.33% in November 4–9 to 33.66% in June 1–7) (p < 0.001), but this decline was temporary, lasting just a few weeks. Themes that emerged during the content analysis included discussion of race or racism in positive (14%) or negative (38%) tones, call for action related to racism (18%), and counter movement/arguments against racism-related changes (6%). Conclusion: Although there was a sharp decline in negative Black sentiment and increased public awareness of structural racism and desire for long-lasting social change, these shifts were transitory and returned to baseline after several weeks. Findings suggest that negative attitudes towards Black people remain deeply entrenched.

Critical race theory (CRT) is a body of work that seeks to understand and change the relationship between race, racism, and power. While relatively new to the health sciences, CRT is increasingly used as a conceptual framework to examine the role of racism in health inequalities. In this commentary, I outline ways in which CRT can also be used to enhance public health education, methodology, and practice.

Racial residential segregation is considered a fundamental cause of racial health disparities, with housing discrimination as a critical driver of residential segregation. Despite this link, racial discrimination in housing is far less studied than segregation in the population health literature. As a result, we know little about how discrimination in housing is linked to health beyond its connection to segregation. Furthermore, we need to understand how health impacts differ across different types of housing discrimination. This review aims to assess the state of the population health literature on the conceptualization, measurement, and health implications of housing discrimination. We used PRISMA guidelines for scoping reviews and presented the data on 32 articles that met our inclusion criteria published before January 1, 2022. Nearly half of the articles do not define housing discrimination explicitly. Additionally, there is considerable variation in how housing discrimination is operationalized across studies. Compared to studies using administrative data for housing discrimination exposures, studies using survey data were more likely to report a detrimental association with health outcomes. Synthesizing and comparing the results of these studies helps bridge methodological approaches to this research. Our review helps inform the debate on how racism impacts population health. Given the changing nature of racial discrimination over time and place, we discuss how population health researchers can approach studying various forms of housing discrimination.

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