Fabio Giglietto
Full Professor of Internet Studies
University of Urbino
Department of Communication Sciences, Humanities and International Studies
About Me
Fabio Giglietto is Full Professor of Internet Studies at the University of Urbino Carlo Bo, where he also earned his doctorate. His research sits at the intersection of computational social science, political communication, and the analysis of digital platforms, with a particular focus on information disorders and coordinated behaviour on social media. His teaching at Urbino has included courses on Generative AI and Media and on Digital Social Network Analysis.
In 2017 he founded the Mapping Italian News Research Program (MINE) at Urbino and has coordinated it since. MINE studies Italian media coverage and the impact of social media on electoral processes, public opinion, and health information, and has hosted a series of externally funded sub-projects. Within MINE he co-developed CooRnet, with Nicola Righetti and Luca Rossi: an open-source R package that introduced the Coordinated Link Sharing Behavior detection method and was applied internationally by researchers, journalists, and fact-checkers. Operational development of CooRnet ended after Meta shut down CrowdTangle, its data source, in August 2024; its methodology lives on in independent tools such as CooRTweet, developed by other researchers. His EU-funded work included serving as Work Package 4 Leader of the Horizon Europe project vera.ai, which concluded in October 2025, and as a partner on PROMPT, a European Commission project monitoring disinformation narratives in Europe that concluded in February 2026.
His 2025 working paper on Meta's political content reduction policy offered the first independent empirical audit of the policy's effect on Italian parliamentarians' Facebook visibility, showing that the policy took effect in Italy roughly ten months before Meta's announced global rollout and cut re-elected MPs' average per-post reach by 72 per cent at its trough. The study was cited in a written question to the European Commission and drew national media coverage in Italy from outlets including Il Sole 24 Ore, Il Resto del Carlino, Open, and Lumsanews.
Beyond the university, he is a founding partner of Digit Srl, a benefit-corporation spin-off of the University of Urbino that develops digital platforms for sustainability, civic participation, social innovation, and scientific dissemination. He is a member of the International Communication Association, the Association of Internet Researchers, and the Italian Association for Political Communication, and has served on the board of Research Committee 51 on Sociocybernetics of the International Sociological Association.
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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October 09, 2026
#toread 📚 From my reading list · 🤖 Auto-postedNote: https://fabiogiglietto.github.io/fg-zettelkasten/Papers/Tornberg2026-imTörnberg, P., Uitermark...
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October 09, 2026
#toread 📚 From my reading list · 🤖 Auto-posted" "" "The article argues that generative AI systems represent a fundamental shift from the 'platform s...
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October 06, 2026
#toread 📚 From my reading list · 🤖 AI-generated post Annabell, T. (2026). Regulating a floating signifier: Interpretations of “data” in the digital...
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Recent Web and News Mentions
Indagine urbinate: "Così l’algoritmo influenza il voto" - Il Resto del Carlino
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
ChatGpt goes to university, big tech's promotion to get students to use Ai - 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! 🧂