Giuliano Formisano

Giuliano Formisano is an incoming Postdoctoral Researcher at the University of Zurich and a current PhD Candidate in Social Data Science at the University of Oxford, where he is supported as an ESRC and Nuffield College scholar. His work bridges political behavior, communication, and computational methods such as machine learning, natural language processing, network analysis, and time-series modeling.

Education:

• University of Oxford - MPhil in Politics (2021)
• University of Exeter - BA in Politics and International Relations (2019)

Research Interests: Giuliano's research focuses on computational social science, political communication, and natural language processing. He studies emotional and ideological dynamics in digital politics, with a particular interest in populism, polarization, and misinformation on platforms like Twitter and Wikipedia. His work also intersects with gender studies and public health, as seen in his analysis of the socio-economic impacts of the pandemic in Europe.

Publications: His recent articles (2025-2020) explore topics ranging from fear-anger cycles in governance to AI applications in political party democracy. Giuliano's work has been published in journals such as Online Social Networks and Media and Minds and Machines.

Awards:

• ESRC Scholar
• Nuffield College Scholar

Collaborations: Giuliano has collaborated with scholars like J. Friedrichs, N. Stoehr, C. Novelli, P. Juneja, and L. Floridi. His work spans interdisciplinary teams in social data science, artificial intelligence, and political theory.