Fabio Giglietto
Full Professor of Internet Studies
University of Urbino
Department of Communication Sciences, Humanities and International Studies
About Me
As of August 2026, Fabio Giglietto is Full Professor of Internet Studies at the University of Urbino Carlo Bo, where he also earned his doctorate. His teaching has included courses on Generative AI and Media and Digital Social Network Analysis. His research sits at the intersection of computational social science, the analysis of digital platforms and political communication, with a particular focus on information disorders and coordinated behaviour on social media. He is a founding partner of Digit Srl, a benefit-corporation spin-off of the university that develops digital platforms for sustainability, civic participation, social innovation and the dissemination of science.
In 2017 he founded the Mapping Italian News Research Program (MINE), the umbrella for his research line, which he has coordinated since and which remained active as of August 2026. MINE hosted a series of externally funded projects on Italian media coverage and the influence of social media on elections, public opinion and health information, all of which had concluded by February 2026. Within MINE he co-developed CooRnet, an open-source R package that introduced the Coordinated Link Sharing Behavior detection method and was adopted by researchers, journalists and fact-checkers internationally. CooRnet's development ended after Meta shut down CrowdTangle in August 2024, but its methodology informed downstream tools such as CooRTweet, an independent package built by other researchers.
At the European level, he led Work Package 4 of the Horizon Europe project vera.ai, which developed AI-based tools for countering disinformation and concluded in October 2025, and was a partner on PROMPT, a European Commission project monitoring disinformation narratives in Europe that concluded in February 2026. As an independent expert he served on the Joint Research Centre's expert group on systemic risks of very large online platforms, a study under Article 40(12) of the Digital Services Act whose summary reports he authored and which were delivered in 2026; as of August 2026 he also held an appointment, running to September 2026, as evaluator and rapporteur for the European Education and Culture Executive Agency. His 2025 working paper on Meta's political content reduction policy was cited in a written question to the European Commission at the European Parliament in 2026, and between January and April 2026 it drew national media coverage in Italy, including Il Sole 24 Ore, Il Resto del Carlino, Open and Lumsanews.
As of August 2026 he is a member of the International Communication Association, the Association of Internet Researchers and the Italian Association for Political Communication, and he has served on the board of the International Sociological Association's Research Committee 51 on Sociocybernetics.
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.
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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
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
Secondo uno studio dell'università di Urbino l'algoritmo di Facebook ora punisce la politica ufficiale e premia gli estremisti antieuropei. Pd e FdI verso una legge bipartisan sulle piattaforme - Open
While they're pretty smart, they might occasionally hallucinate a publication or get creative with facts. Take it with a grain of digital salt! 🧂