My specific expertise concerns statistical and computational methods applied to digital media data. I study communication around relevant social issues by drawing from a wide range of established and innovative data mining 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 mix quantitative and qualitative methods like digital ethnography, and more traditional interviews, surveys and observations.
From a substantive perspective, I am interested in communication, information and problematic information in the online environment, digital activism and controversial movements, 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.
I have worked on several research projects funded by external agencies, like: MINE-GE: Mapping Coordinated Activities During the 2021 German Election (Principal Investigator), funded by Die Landesanstalt für Medien NRW, Patterns of Facebook Interactions around Insular and Cross-Partisan Media Sources in the Run-up of the 2018 Italian Election (funded by SSRC Social Science Research Council), and Mapping Italian News Social Media and Democracy (funded by Open Society Foundation).