Tiago Ventura is an Assistant Professor in Computational Social Science at Georgetown University‚ McCourt School of Public Policy. Before joining Georgetown, he was a Postdoctoral Fellow at NYU‚ Center for Social Media and Politics. He received his Ph.D. in Political Science from the University of Maryland, College Park. His research lies at the intersection of social media and politics and in developing new methods to use social media data to study politics. His research spans topics such as online content activation and propagation; measuring the causal effects of social media usage on exposure to misinformation and political behavior; and testing interventions to counter beliefs for misinformation. He primarily utilizes a comparative approach, using large-scale, multi-country designs to study the intersection of social media and politics, paying particular attention to countries in the Global South. Methodologically, he is interested in survey research in the digital era, large-scale digital experimentation, and the use of large language models in applied social science research.
Tiago Ventura is an Assistant Professor in Computational Social Science at Georgetown University‚ McCourt School of Public Policy. Before joining Georgetown, he was a Postdoctoral Fellow at NYU‚ Center for Social Media and Politics. He received his Ph.D. in Political Science from the University of Maryland, College Park. His research lies at the intersection of social media and politics and in developing new methods to use social media data to study politics. His research spans topics such as online content activation and propagation; measuring the causal effects of social media usage on exposure to misinformation and political behavior; and testing…