Fabio Giglietto
Full Professor of Internet Studies
University of Urbino
Department of Communication Sciences, Humanities and International Studies
About Me
Fabio Giglietto is a Full Professor of Internet Studies at the University of Urbino Carlo Bo, where he also completed his doctoral studies. His academic work explores the intersections of computational social science, political communication, and the dynamics of digital platforms. In the classroom, he instructs students on topics such as digital social network analysis alongside the relationship between generative artificial intelligence and media. Beyond his traditional academic roles, he is a founding partner of Digit Srl, a benefit-corporation spin-off of the University of Urbino that designs digital applications focused on civic engagement, sustainability, social innovation, and the public dissemination of scientific knowledge.
Since founding the Mapping Italian News Research Program (MINE) in 2017, Giglietto has steered this initiative as an institutional umbrella for analyzing how digital platforms influence public opinion, electoral integrity, and health communication. Although its series of externally funded sub-projects have concluded, MINE remains the core home for his research line. Within this framework, he co-developed CooRnet, an open-source tool that pioneered the detection of coordinated link sharing behavior. While the tool's active development ceased following the shutdown of the data access platform CrowdTangle, the underlying methodology continues to influence the field, inspiring downstream independent packages like CooRTweet, which are maintained by other researchers.
Giglietto has contributed extensively to European research and policy initiatives. He served as a work package leader for the artificial intelligence verification project vera.ai and as a partner in the disinformation monitoring initiative PROMPT. Additionally, he has lent his expertise to the European Commission, serving on the Joint Research Centre expert group concerning systemic risks on large online platforms under the Digital Services Act, and evaluating proposals for the European Education and Culture Executive Agency. His recent empirical research into platform governance—specifically a working paper analyzing the impact of Meta's political content reduction policies—has drawn significant attention, earning a citation in a European Parliament written question and receiving coverage in prominent national outlets such as Il Sole 24 Ore, Open, and Il Resto del Carlino.
Actively engaged in the international scholarly community, Giglietto maintains memberships in several key academic organizations, including the International Communication Association, the Association of Internet Researchers, and the Italian Association for Political Communication. He has also contributed to the governance of the field through his service on the board of the Research Committee on Sociocybernetics within the International Sociological Association. Through these diverse roles in research, teaching, policy advisory, and public engagement, he continues to investigate the evolving structures of our hybrid media system and the societal challenges posed by coordinated digital manipulation.
Recent Publications
Ten months of continuous coordinated-behaviour monitoring on Facebook: the VERA-AI Alert system and its empirical yield
Giglietto, F., Marino, G., Chakraborty, A., & Righetti, N. (2026). Ten months of continuous coordinated-behaviour monitoring on Facebook: the VERA-AI Alert system and its empirical yield. Center for Open Science. https://doi.org/10.31235/osf.io/gba57_v1
Measuring partisan community dynamics: a longitudinal analysis of affective engagement in pro-Bolsonaro Facebook networks
Marino, G., Paroni, B., & Giglietto, F. (2026). Measuring partisan community dynamics: a longitudinal analysis of affective engagement in pro-Bolsonaro Facebook networks. Information, Communication & Society. https://doi.org/10.1080/1369118X.2026.2696929
VERA-AI Alert: Self-updating detection of coordinated sharing behaviour on Facebook
Giglietto, F. (2026). VERA-AI Alert: Self-updating detection of coordinated sharing behaviour on Facebook. Zenodo. https://doi.org/10.5281/zenodo.21234935
Navigating Coordination and Inauthentic Behaviour
Giglietto, F., Graham, T., & Righetti, N. (2026). Navigating Coordination and Inauthentic Behaviour. The Routledge Companion to Social Media and Politics. https://doi.org/10.4324/9781003359524-24
Beyond the share button: How partisan alignment, journalistic quality, and algorithmic governance shape what millions see on Facebook
Giglietto, F., & Marino, G. (2026). Beyond the share button: How partisan alignment, journalistic quality, and algorithmic governance shape what millions see on Facebook. Platforms & Society. https://doi.org/10.1177/29768624261452529
Research Projects
MINE — Mapping Italian News Research Program
Research programme active at the University of Urbino since 2017, investigating Italian media coverage and the impact of social media on electoral processes, public opinion and health information. MINE has hosted a succession of externally funded sub-projects (listed separately below). All sub-grants are now concluded; the programme remains active as the institutional and intellectual umbrella for the PI's ongoing research line, with no active external grant at present.
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PROMPT — Predictive Research On Misinformation and Narratives Propagation Trajectories
European Commission project (DG CNECT) dedicated to monitoring disinformation narratives in Europe, addressing sensitive issues including the war in Ukraine, LGBTQI+ rights, and European elections through the development of language models, monitoring dashboards, and educational resources for fact-checkers and journalists. MINE sub-project.
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vera.ai — VERification Assisted by Artificial Intelligence
Horizon Europe project developing AI-based tools to assist journalists and fact-checkers in verifying multimedia content and countering disinformation. As WP4 Leader, Fabio Giglietto led the work package focused on detection of coordinated behaviour and inauthentic networks spreading misleading content. MINE sub-project.
Learn moreNews & Updates
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August 18, 2026
#toread #paper Detection and characterization of coordinated online behavior: A survey by Lorenzo Mannocci et al. https://doi.org/10.1145/3839225
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August 17, 2026
#toread #paper From national outlets to transnational audiences: far-right hyperpartisan news sources on YouTube by Klaus Groebner https://doi.org/10....
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August 16, 2026
#toread #paper Trust beyond algorithms: What drives Italian audiences’ perceptions of search results and news produced with AI by Giulia Sbaraini Font...
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Recent Web and News Mentions
Indagine urbinate: "Così l’algoritmo influenza il voto" - Il Resto del Carlino
Algoritmi e democrazia, il caso Meta secondo lo studio di UniUrb
Report - Puntata del 12/04/2026
Facebook premia gli estremisti: la ricerca dell'Università di Urbino - Lumsanews
Meno contenuti politici nei feed, la stretta di Meta è stata meno efficace contro gli estremisti - Il Sole 24 ORE
While they're pretty smart, they might occasionally hallucinate a publication or get creative with facts. Take it with a grain of digital salt! 🧂