Fabio Giglietto

Fabio Giglietto

Full Professor of Internet Studies

University of Urbino

fabio.giglietto@uniurb.it

Department of Communication Sciences, Humanities and International Studies

About Me

Fabio Giglietto is Full Professor of Internet Studies in the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo, where he also earned his doctorate. His research combines computational social science, the analysis of digital platforms and political communication, with a particular focus on information disorders and coordinated behaviour on social media. His teaching has included Generative AI and Media and Digital Social Network Analysis. In 2017 he founded the Mapping Italian News Research Program (MINE) at Urbino and has coordinated it since; the programme hosted a series of externally funded sub-projects, all concluded by February 2026, and as of August 2026 it remains the active umbrella for his research line.

Within MINE, Giglietto co-developed CooRnet with Nicola Righetti and Luca Rossi, an open-source R package that introduced the Coordinated Link Sharing Behavior detection method and has been applied internationally by researchers, journalists and fact-checkers. Operational development of the package ended after Meta shut down CrowdTangle, the data source on which it relied, on 14 August 2024; its methodology nonetheless informed downstream tools such as CooRTweet, an independent package built by other researchers. In European consortium research, he served as WP4 Leader of the Horizon Europe project vera.ai, which built AI-based tools for countering disinformation and concluded in October 2025, and as Partner on PROMPT, a European Commission project monitoring disinformation narratives in Europe that concluded in February 2026.

Giglietto has also served the European Commission as an independent expert. He was a member of a Joint Research Centre expert group studying systemic risks of very large online platforms with publicly available data, work contributing to the European Centre for Algorithmic Transparency under Article 40(12) of the Digital Services Act; in that role he oversaw the group's research projects, monitored the platform data-access request process and wrote its summary reports, delivered in 2026. He was also appointed evaluator and rapporteur for the European Education and Culture Executive Agency, an appointment that, as of August 2026, ran to September 2026.

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, received national media coverage in Italy from 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. 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.

This bio is automatically generated by AI using aggregated data from publications, research activities, and academic profiles.

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

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

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

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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📚 FG's #toread

News & Updates

  • October 03, 2026

    #toread 📚 From my reading list · 🤖 AI-generated postNote: https://fabiogiglietto.github.io/fg-zettelkasten/Papers/Rogers2026-zzRogers, R., Koronsk...

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  • October 03, 2026

    #toread 📚 From my reading list · 🤖 AI-generated post" "" "The study tracks borderline content on Facebook across the 2016, 2020, and 2024 U.S. elect...

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  • October 03, 2026

    #toread 📚 From my reading list · 🤖 AI-generated post Rogers, R., & Koronska, K. (2026). The performance of borderline content on Facebook. Content ...

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