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 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. His teaching at Urbino has included Generative AI and Media and Digital Social Network Analysis.

In 2017 he founded the Mapping Italian News Research Program (MINE) at the University of Urbino, which he has coordinated since. MINE studies Italian media coverage and the impact of social media on electoral processes, public opinion and health information. Within the programme he co-developed CooRnet with Nicola Righetti and Luca Rossi, the open-source R package that introduced the Coordinated Link Sharing Behavior detection method, applied internationally by researchers, journalists and fact-checkers. Operational development of CooRnet ended after Meta shut down CrowdTangle in August 2024, though the methodology it introduced continues to inform independent downstream tools such as CooRTweet.

His European research record includes service as Work Package 4 Leader of the Horizon Europe project vera.ai, which developed AI-based tools for countering disinformation, and as a partner on PROMPT, a European Commission project monitoring disinformation narratives in Europe; both concluded by early 2026. As an independent expert he was a member of the Joint Research Centre expert group on systemic risks of very large online platforms, a study contributing to the European Centre for Algorithmic Transparency under Article 40(12) of the Digital Services Act, where he provided scientific oversight, monitored the platform data-access request process and authored the group's summary reports. He also served 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 tabled in the European Parliament and drew national media coverage in Italy from outlets including Il Sole 24 Ore, Il Resto del Carlino and Open.

Giglietto 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. 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.

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

  • November 03, 2026

    A recent study by Iannucci, Matakos, and Kivelä reframes social media coordination detection as a problem of statistical detectability, critiquing standard similarity network methods that often partition accounts into clusters regardless of whether genuine coordination exists.

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  • November 02, 2026

    New research by Farjam, Meyer, and Lohkamp establishes a practical workflow for utilizing open-weight large language models in automated content analysis. By incorporating a secondary agent to adjudicate conflicting codings, the authors achieved expert-level reliability scores across multilingual corpora on consumer-grade hardware.

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  • October 23, 2026

    Comparative analysis by Gary King and Christopher Worthington indicates that AI-generated article reviews can equal or outperform high-quality human expert reviews across multiple evaluation benchmarks, raising key policy questions for academic peer review.

    Read more
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