My specific expertise concerns statistical and computational methods applied to digital media data. I study digital communication around relevant social and political issues using a wide range of established and innovative data analysis methods and social science approaches.
From a methodological perspective, I am interested in computational and digital techniques, tools, and methods for data mining, text mining, natural language processing, and web scraping. I mainly rely on R coding for my studies, but I also use other software to perform specific analyses. Sometimes I use both quantitative and qualitative approaches such as digital ethnography and more traditional interviews, surveys, and observations.
I am interested in communication, information, and problematic information online, including digital activism and controversial movements and political cultures such as the anti-vaccine movement, the anti-gender movement, the men’s rights movement, vegans and animal rights movement, and religious and quasi-religious movements.
Grants and externally funded research projects
- PolarVis: Visual Persuasion in a Transforming Europe: the affective and polarizing power of visual content in online political discourse (Co-Principal Investigator), funded by “CHANSE, Call on Transformations: Social and Cultural Dynamics in The Digital Age” (285,837.09 EUR).
- MINE-GE: Mapping Coordinated Activities During the 2021 German Election (Principal Investigator), funded by Die Landesanstalt für Medien NRW (69,535.64 EUR)
- Patterns of Facebook Interactions around Insular and Cross-Partisan Media Sources in the Run-up of the 2018 Italian Election (team member), funded by SSRC Social Science Research Council.
- Mapping Italian News Social Media and Democracy (team member), funded by the Open Society Foundation.