4 citations · 7 across the 10 of their papers we have counts for
10 papers
Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English
Rebecca Dorn, Christina Chance, Casandra Rusti +4
Automated emotion detection is widely used in applications ranging from well-being monitoring to high-stakes domains like mental health and hiring. However, models often rely on an…
Characterizing Network Structure of Anti-Trans Actors on TikTok
Maxyn Leitner, Rebecca Dorn, Fred Morstatter +1
The recent proliferation of short form video social media sites such as TikTok has been effectively utilized for increased visibility, communication, and community connection among…
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
Minh Duc Chu, Zihao He, Rebecca Dorn +1
Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs…
Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
Minh Duc Chu, Cinthia Sánchez, Zihao He +3
The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating disorders and other psychopathol…
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
Rebecca Dorn, Lee Kezar, Fred Morstatter +1
Content moderation on social media platforms shapes the dynamics of online discourse, influencing whose voices are amplified and whose are suppressed. Recent studies have raised co…
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn +6
Warning: Contents of this paper may be upsetting. Public attitudes towards key societal issues, expressed on online media, are of immense value in policy and reform efforts, yet ch…
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
Zihao He, Minh Duc Chu, Rebecca Dorn +2
Social scientists use surveys to probe the opinions and beliefs of populations, but these methods are slow, costly, and prone to biases. Recent advances in large language models (L…
Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities
Minh Duc Chu, Zihao He, Rebecca Dorn +1
Eating disorders (ED), a severe mental health condition with high rates of mortality and morbidity, affect millions of people globally, especially adolescents. The proliferation of…
Non-Binary Gender Expression in Online Interactions
Rebecca Dorn, Negar Mokhberian, Julie Jiang +3
Many openly non-binary gender individuals participate in social networks. However, the relationship between gender and online interactions is not well understood, which may result…
Gender and Prestige Bias in Coronavirus News Reporting
Rebecca Dorn, Yiwen Ma, Fred Morstatter +1
Journalists play a vital role in surfacing issues of societal importance, but their choices of what to highlight and who to interview are influenced by societal biases. In this wor…