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 at the University of Urbino Carlo Bo, where he also earned his doctorate. His work 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 has included courses on Digital Social Network Analysis and on Generative AI and Media.

In 2017 he founded the Mapping Italian News Research Program (MINE) at Urbino, which, as of August 2026, remains the institutional umbrella for his research. Within MINE he has coordinated a succession of externally funded sub-projects on elections, public opinion and health information, all concluded by February 2026. He also co-developed CooRnet, the open-source R package that introduced the Coordinated Link Sharing Behavior detection method, adopted internationally by researchers, journalists and fact-checkers. Active development of the package ended after the shutdown of Meta's CrowdTangle in August 2024, but the methodology it introduced continues to inform independent downstream tools such as CooRTweet, maintained by other scholars.

His work has fed into several European initiatives. He served as a work package leader of the Horizon Europe project vera.ai (concluded in October 2025) and as a partner on PROMPT, a European Commission-funded project on disinformation narratives (concluded in February 2026). He was a member of the Joint Research Centre expert group on the systemic risks of very large online platforms, a study supporting the European Centre for Algorithmic Transparency under the Digital Services Act, for which he delivered summary reports in 2026, and he serves as an 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 and drew coverage in Italian outlets including Il Sole 24 Ore and Open.

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 the International Sociological Association's Research Committee 51 on Sociocybernetics. He is also 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

  • August 25, 2026

    #toread #paper Online Discourse is Falsely Polarized by Self-Selection by Will Schulz et al. https://doi.org/10.31234/osf.io/7z69m_v1

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  • August 21, 2026

    #toread #paper What has happened to trust in news in the long run globally? by Richard Fletcher, Rasmus Kleis Nielsen https://doi.org/10.4324/97810036...

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  • August 20, 2026

    #toread #paper What Facebook users flag as false news: A mixed-methods investigation of user-reported links by Anton Elias Holt https://doi.org/10.108...

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