builds computational methods to understand how information and narratives, whether accurate or distorted, move through language and online communities, and what that means for trust, privacy, and public health.
Dr. Ritwik Banerjee is an NLP researcher and computer science educator working at the intersection of computational linguistics and computational social science: information integrity, argumentation, and privacy in language, with applications across health and media.
Ritwik Banerjee is a Research Assistant Professor of Computer Science at Stony Brook University and the principal investigator of the Social & Computational Intelligence Research (SCIRE) group. His work sits at the intersection of natural language processing and computational social science: he develops methods to study information integrity, semantic distortion, and natural language pragmatics and argumentation.
His research pairs NLP with causal inference, temporal and diffusion modeling, and the analysis of argumentation and pragmatics — methods he has applied across domains, from the spread of health-related misinformation, to cross-national news framing of armed conflicts, to privacy and regulatory compliance in mobile app data.
He leads a multifaceted research program that is supported both federally and privately, being a PI on awards from the U.S. National Science Foundation and the Society for Family Planning, and has advised PhD students who subsequently became research scientists at Meta and Boeing AI, and tenure-track faculty at Nankai University. He has served as an Area Chair for ACL Rolling Review, and on multiple NSF panels.