Tiago Ventura

Assistant Professor, Georgetown University McCourt School of Public Policy

Tiago Ventura is an Assistant Professor in Computational Social Science at Georgetown University’s McCourt School of Public Policy. His research interests lie in 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 is primarily utilize 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 works on survey research in the digital era, large-scale digital experimentation, and the use of large language models in applied social science research.

The Latest From Tiago Ventura

Better Access: Data for the Common Good

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Better Access: Data for the Common Good

Online platforms shape what we know, how we connect, and who gets heard. As critical conversations unfold publicly on digital platforms, the ability to study them at scale has steadily diminished. KGI’s latest report authored by a distinguished group of leaders from research, civil society, and journalism offers a roadmap for expanding access to high-influence public platform data – the narrow slice of public platform data that has the greatest impact on civic life due to its reach, source, or role in shaping what people see online.

Alex Abdo, Angie Drobnic Holan, Brandon Silverman, Cameron Hickey, Daniel Arnaudo, Jeremy Merrill, Jo Lukito, Justin Hendrix, Kaitlyn Dowling, Laura Edelson, Leticia Bode, LK Seiling, Mark Scott, Nadine Farid Johnson, Naomi Shiffman, Nathaniel Persily, Peter Chapman, Rachelle Faust, Rebekah Tromble, Tiago Ventura

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