Scholar
Manuel Tonneau
Google Scholar ID: RIB-aogAAAAJ
University of Oxford, World Bank, New York University
Citations & Impact
Citations
104
H-index
5
i10-index
3
Publications
11
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter' received an Outstanding Paper Award at ACL 2025; multiple papers accepted at conferences such as ACL and ICWSM; involved in various research projects on hate speech, misinformation, and cultural bias.
Research Experience
- Consultant for the World Bank; Associated Researcher at the Weizenbaum Institute; Member of the Open Networks and Big Data Lab at New York University.
Education
- Ph.D. candidate in Social Data Science at the University of Oxford, supervised by Scott Hale and Ralph Schroeder.
Background
- Research interests include online harms in global contexts, combining natural language processing with insights from social science. Particularly interested in how AI can both reduce and create new harms, with a focus on cross-geographic disparities in the effectiveness of AI systems at protecting users.
Miscellany
- This website is based on templates developed by Martin Saveski and Manoel Horta Ribeiro.
