Data-Driven
Cybersafety Lab
We develop methods to study, measure, and mitigate harms on online platforms. Our work lies at the intersection of computer security, artificial intelligence, and computational social science.
4+
Years Active
5
Researchers
30+
Publications
Latest News
View all news →- Our paper 'Gold Standard or Gold-Plated? Human Practices of Triple Verification in CSAM Takedown' received an Honorable Mention Award at ACM CHI 2026. Congratulations to the first author, Melissa!
- Three papers accepted at The Web Conference 2026: 1) Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations; 2) Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems; 3) The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT. Congratulations to Sepehr, Keerthana, Qinwuan, and Elisabeth for leading the efforts!
- Our paper 'Gold Standard or Gold-Plated? Human Practices of Triple Verification in CSAM Takedown' has been accepted at ACM CHI 2026. Congratulations to Melissa for the amazing work!
- Our paper 'The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act' has been accepted at ICWSM 2026! Congratulations to Catalina and Thales for leading the effort!
- Our paper 'Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and YouTube' has been accepted at IEEE S&P 2026! Congratulations to Keerthana and Abhishek for leading the effort!
Research Areas
Learn more →Online Harms & Platform Accountability
Measuring harmful content, recommender system effects, and platform interventions at scale. We build methods to hold platforms accountable to the public.
AI-Driven Cybersecurity & Cybersafety
Applying artificial intelligence to detect, model, and mitigate emerging threats in online environments.
Hate Speech & Content Moderation
Auditing moderation systems and developing fairer, more transparent approaches to detecting and removing harmful speech.