17 citations · 24 across the 13 of their papers we have counts for
8 papers · 1 filter
GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria
Luise Koch, Manuel Tonneau, Niyati Malhotra +5
Research on gender-related online content is often operationalized through harm-centered tasks that collapse non-harmful gender-related and unrelated content, while existing datase…
AI-Assisted Submissions in Online Research Are Rare and Highly Concentrated but Routinely Approved
Neil K. R. Sehgal, Manuel Tonneau, Dunigan Folk +2
Online research platforms underpin much of what science claims about people, on the assumption that a human produced each response. Generative AI threatens that assumption by letti…
SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results
Manuel Tonneau, Abhinav Dubey, Farhan Shaikh +8
Russian state propaganda spreads across many languages and online spaces. Yet, most computational work examines only one such space, usually social media, in one or two languages,…
LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages
Sharif Kazemi, Tanya Popli, Neil K. R. Sehgal +7
Large language models (LLMs) are increasingly used to generate media, but whether their content perpetuates gender stereotypes is unknown: standard benchmarks rely on selection-bas…
Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure
David Hartmann, Manuel Tonneau, Angelie Kraft +7
Perspective API closes at the end of 2026, removing the de facto standard for toxicity measurement and exposing researchers' dependence on a tool they did not control. Drawing on t…
The Enforcement and Feasibility of Hate Speech Moderation
Manuel Tonneau, Dylan Thurgood, Diyi Liu +7
Online hate speech is associated with harms ranging from deteriorating mental health to violence, yet how consistently platforms moderate hate, and whether enforcement is feasible…
Celebrity messages reduce online hate and limit its spread
Eaman Jahani, Blas Kolic, Manuel Tonneau +5
Online hate spreads rapidly, yet little is known about whether preventive and scalable strategies can curb it. We conducted the largest randomized controlled trial of hate speech p…
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias
Manuel Tonneau, Neil K. R. Sehgal, Niyati Malhotra +7
Demographic cue-based evaluation is widely used to study how large language models (LLMs) adapt their responses to signaled demographic attributes within and across groups. This ap…