Giuliano is a PhD Candidate in Social Data Science at the Oxford Internet Institute, University of Oxford, as an ESRC Scholar.
Giuliano’s research focuses on computational text analysis and political polarisation, using machine learning, natural language processing, network analysis, and time-series.
Alongside studying for a PhD, Giuliano collaborates with Oxford’s International Development Institute and Department of Politics and International Relations, as well as Science Po’s Centre for European Studies and Comparative Politics.
Previously, Giuliano completed an MPhil in Politics (Oxford, 2021) and a BA in Politics and International Relations (Exeter, 2019).
Computational Social Science; Political Communication; Natural Language Processing; Networks
Friedrichs, J.*, Stoehr, N.*, Formisano, G.* (equal contributors) (2022) Fear-Anger Contests: Governmental and Populist Politics of Emotion. Online Social Networks and Media, 32, pp. 1-13.
