Fabio Giglietto
Full Professor of Internet Studies
University of Urbino
Department of Communication Sciences, Humanities and International Studies
About Me
Fabio Giglietto is, as of August 2026, Full Professor of Internet Studies at the University of Urbino Carlo Bo, the university where he also earned his doctorate. His teaching has included Generative AI and Media and Digital Social Network Analysis. His research brings together computational social science, the analysis of digital platforms and political communication, with a particular focus on information disorders and coordinated behaviour on social media.
In 2017 he founded the Mapping Italian News Research Program (MINE) at Urbino and has coordinated it ever since; as of August 2026 the programme remains active as the umbrella for his research line, having hosted a series of externally funded studies of Italian media coverage and of social media's effects on elections, public opinion and health information. Within MINE he co-developed CooRnet with Nicola Righetti and Luca Rossi, an open-source R package that introduced the Coordinated Link Sharing Behavior (CLSB) detection method and was taken up internationally by researchers, journalists and fact-checkers. Operational development of CooRnet ended after Meta shut down CrowdTangle on 14 August 2024, on which the package depended for data, but the CLSB methodology continues to inform downstream tools such as CooRTweet, an independent package built by other researchers.
At European level he served as WP4 Leader of the Horizon Europe project vera.ai (concluded October 2025), which developed AI-based tools against disinformation, and as a partner on PROMPT (concluded February 2026), devoted to monitoring disinformation narratives in Europe. As a member of a Joint Research Centre expert group on the systemic risks of very large online platforms — work contributing to the European Centre for Algorithmic Transparency under Article 40(12) of the Digital Services Act — he provided scientific oversight of the group's research projects, monitored the platform data-access request process and authored its summary reports, delivered in 2026. He was also appointed evaluator and rapporteur for the European Education and Culture Executive Agency; as of August 2026 that appointment ran to September 2026. His 2025 working paper on Meta's political content reduction policy was cited in a written parliamentary question to the European Commission and received national media coverage in Italy between January and April 2026, including in 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 previously served on the board of Research Committee 51 on Sociocybernetics of the International Sociological Association. He is also a founding partner of Digit Srl, a benefit-corporation spin-off of the University of Urbino Carlo Bo that develops digital platforms for sustainability, civic participation, social innovation and scientific dissemination.
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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November 02, 2026
A practical guide published in Social Science Computer Review explores effective methodologies for instructing Large Language Models (LLMs) to perform automated content analysis coding.
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October 31, 2026
Recent findings on political communication and platform safety analyze how recurring tropes establish a predictable structure for online election rumors across major social media platforms.
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October 23, 2026
Comparative evaluation of peer review methods suggests AI-generated article reviews are matching or outperforming standard expert evaluations across several quality criteria.
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Recent Web and News Mentions
Indagine urbinate: "Così l’algoritmo influenza il voto" - Il Resto del Carlino
Meno contenuti politici nei feed, la stretta di Meta è stata meno efficace contro gli estremisti - Il Sole 24 ORE
Less political content in feeds, Meta's clampdown less effective against extremists - 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! 🧂