University of Urbino
Department of Communication Sciences, Humanities and International Studies
Fabio Giglietto is a Full Professor of Internet Studies at the Università di Urbino Carlo Bo, where he also earned his doctorate. His scientific activity is situated at the intersection of computational social science, the analysis of digital platforms, and political communication. A primary focus of his research involves the study of information disorders and the detection of coordinated behaviour on social media. Currently, Professor Giglietto shares his expertise through teaching courses on Generative AI and Media and Digital Social Network Analysis.
Since 2017, Professor Giglietto has founded and coordinated the Mapping Italian News Research Program (MINE) at the University of Urbino, which serves as an institutional umbrella for his research line. MINE has explored Italian media coverage and the impact of social media on electoral processes, public opinion, and health information through a succession of externally funded sub-projects. Within this program, he co-developed CooRnet, an open-source R package that introduced the influential Coordinated Link Sharing Behavior (CLSB) detection method. While CooRnet's operational use was discontinued following CrowdTangle's shutdown in August 2024, its foundational methodology continues to be applied in the independently maintained CooRTweet R package. His European engagements include serving as WP4 Leader for the Horizon Europe project vera.ai (concluded October 2025) and as Partner on PROMPT (concluded February 2026), both dedicated to countering disinformation. While all MINE's externally funded sub-projects have concluded, the programme remains active as his research framework.
Professor Giglietto is an active participant in the academic community, holding memberships in the International Communication Association (ICA), the Association of Internet Researchers (AoIR), and the Italian Association for Political Communication. He has also contributed to scholarly governance by serving on the board of Research Committee 51 on Sociocybernetics of the International Sociological Association. His work, particularly the CLSB methodology, has been adopted internationally by researchers, journalists, and fact-checkers, contributing significantly to the understanding and mitigation of complex digital phenomena.
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
Giglietto, F., & Puschmann, C. (2026). From the Wild West to the Walled Garden. M/C Journal. https://doi.org/10.5204/mcj.3257
Giglietto, F., Terenzi, M., Chakraborty, A., & Marino, G. (2026). Synthetic seduction: Evolving visual persuasion in coordinated online gambling promotion with generative {AI}. Countering Disinformation in the Era of Generative AI. https://doi.org/10.1007/978-3-032-11782-3_4
Giglietto, F. (2025). "A Pretty Blunt Approach": Meta's Political Content Reduction Policy and Italian Parliamentarians' Facebook Visibility. Center for Open Science. https://doi.org/10.31235/osf.io/8dqag_v2
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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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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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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