Existing public face image datasets are strongly biased toward Caucasian faces, and other
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …

This study analyzes over 4000 tweets related to six misinformation topics about the COVID-
19 pandemic: the use of hydroxychloroquine as treatment, the use of bleach as a …

Protest event analysis is an important method for the study of collective action and social
movements and typically draws on traditional media reports as the data source. We …

Who is responsible for protest mobilization? Models of disease and information diffusion
suggest that those central to a social network (the core) should have a greater ability to …

Images play a crucial role in shaping and reflecting political life. Digitization has vastly
increased the presence of such images in daily life, creating valuable new research …

Scholars increasingly use Twitter data to study the life sciences and politics. However,
Twitter data collection tools often pose challenges for scholars who are unfamiliar with their …

The 2022–2023 mpox outbreak has disproportionately impacted gay, bisexual, and other
men who have sex with men (GBMSM). The US CDC recommended individuals to explore …

Larger protests are more likely to lead to policy changes than small ones are, but whether or
not attendance estimates provided in news or generated from social media are biased is an …

Consumer beliefs play an important role in explaining consumer behavior. This exploratory
study aims at building an inventory of consumer beliefs about organic food. To reach this …

This article uses Twitter data and machine-learning methods to analyze the causal impact of
the Supreme Court's legalization of same-sex marriage at the federal level in the United …