activity
20232026
most citedMeasuring Online Emotional Reactions to Events

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI2026

The Conversation Turns First: Crowd Discussion and Price Reversals in Prediction Markets

Omneya Sultan, Fred Morstatter

Prediction markets combine trading with public discussion of the same events. We examine whether comment-derived signals predict subsequent activity, buying direction, and changes…

cs.CL2025

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…

cs.HC2025

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…

cs.CL2024

Estimating Causal Effects of Text Interventions Leveraging LLMs

Siyi Guo, Myrl G. Marmarelis, Fred Morstatter +1

Quantifying the effects of textual interventions in social systems, such as reducing anger in social media posts to see its impact on engagement, is challenging. Real-world interve…

cs.CL2024

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…

cs.SI2023★ 2 cited

Measuring Online Emotional Reactions to Events

Siyi Guo, Zihao He, Ashwin Rao +5

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely m…