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 a Full Professor of Internet Studies at the Università di Urbino Carlo Bo, where he imparts knowledge in Generative AI and Media and Digital Social Network Analysis. Holding a doctorate from the same institution, his scientific activity is strategically positioned at the intersection of computational social science, digital platform analysis, and political communication. His core research focuses on the intricate dynamics of information disorders and coordinated behavior within social media environments, contributing significantly to understanding contemporary digital landscapes.

He founded and coordinates the Mapping Italian News Research Program (MINE) at the University of Urbino, an institutional umbrella for his research line since 2017. MINE has explored Italian media coverage and social media's impact on electoral processes, public opinion, and health information through a succession of externally funded sub-projects, supported by various funders including the Open Society Foundations, the Social Science Research Council, the Gates Foundation, and the European Commission. Within MINE, Fabio Giglietto co-developed CooRnet, an open-source R package that pioneered the Coordinated Link Sharing Behavior (CLSB) detection method. Following the shutdown of Meta's CrowdTangle on August 14, 2024, CooRnet is no longer operationally maintained, though its methodology continues to inform downstream tools, notably the independent CooRTweet R package, which is maintained by others. All MINE's externally funded sub-projects have now concluded, with no active external grants under the program at present.

Fabio Giglietto has also played significant roles in European research initiatives, including serving as WP4 Leader for the Horizon Europe project vera.ai, which concluded in October 2025, focusing on AI-based tools for countering disinformation. He was also a Partner on PROMPT, a European Commission project dedicated to monitoring disinformation narratives across Europe, concluding in February 2026. Beyond his academic roles, he is a founding partner of Digit Srl, a benefit-corporation spin-off of the University of Urbino Carlo Bo, which develops digital platforms for sustainability, civic participation, social innovation, and scientific dissemination. His professional affiliations include the International Communication Association (ICA), the Association of Internet Researchers (AoIR), and the Italian Association for Political Communication, and he has served on the board of Research Committee 51 on Sociocybernetics of the International Sociological Association.

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

Recent Publications

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

From the Wild West to the Walled Garden

Giglietto, F., & Puschmann, C. (2026). From the Wild West to the Walled Garden. M/C Journal. https://doi.org/10.5204/mcj.3257

Synthetic seduction: Evolving visual persuasion in coordinated online gambling promotion with generative {AI}

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

Amplifying extremes: the interplay of social media and traditional media in shaping political polarization

Giglietto, F. (2026). Amplifying extremes: the interplay of social media and traditional media in shaping political polarization. Handbook of Social and Communication Networks. https://doi.org/10.4337/9781035325047.00023

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

  • June 27, 2026

    A recent paper highlights how AI systems are proving capable of out-persuading human experts. Authored by Kobi Hackenburg et al., this research explores the persuasive power of artificial intelligence.

    Read more
  • June 21, 2026

    New findings suggest that engaging in dialogues with AI can effectively reduce conspiracy beliefs. Research by Thomas H Costello, Gordon Pennycook, and David Gertler Rand investigates the durability of these reductions.

    Read more
  • June 19, 2026

    An analysis of Italians' attitudes toward artificial intelligence reveals how technology-related issues circulate across social conversations. This study, by Eliana Fattorini et al., provides insights into public perception.

    Read more
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Recent Web and News Mentions

Blog | Snurblog — Axel Bruns

snurb.info Jun 26, 2026
Axel Bruns' blog post from June 2026 mentions Fabio Giglietto presenting a paper on partisan alignment, journalistic quality, and algorithmic amplification on Facebook at the 2026 International Communication Association conference.
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