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 28, 2026

    Insights into the evolving landscape of content moderation are offered through a recently shared paper analyzing the legislative frameworks in the EU and US. This research examines how content moderation functions as a form of 'traffic control' within platform regulation.

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  • June 28, 2026

    A collection of recent academic papers has been highlighted, addressing various facets of Artificial Intelligence, including its role in media cognition, its persuasive capabilities compared to human experts, and strategies for reducing conspiracy beliefs through AI dialogues. Further studies explore public attitudes towards AI in Italy, the stakeholders driving the AI hype, and the potential for AI coding agents to replicate social science findings.

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  • June 15, 2026

    Recent research highlights critical aspects of digital platforms, focusing on how young adults perceive informativeness on audio-visual platforms and the dynamics of echo chambers, rabbit holes, and radicalization pathways on YouTube. Other studies delve into temporal dynamics in digital trace data for communication research and how disinformation narratives operate within hybrid media ecosystems.

    Read more
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Recent Web and News Mentions

Blog | Snurblog — Axel Bruns

snurb.info Jun 27, 2026
A blog post by Axel Bruns from June 2026 mentions Fabio Giglietto presenting a paper on partisan alignment, journalistic quality, and algorithmic amplification on Facebook at the International Communication Association conference.

ilrestodelcarlino.it

ilrestodelcarlino.it Apr 23, 2026
A news article from ilrestodelcarlino.it quoting Professor Fabio Giglietto from the University of Urbino Carlo Bo on how algorithms influence voting behavior, discussing an investigation conducted in Urbino and similar global phenomena.

lumsanews.it

lumsanews.it Jan 09, 2026
The article discusses how Meta platforms amplify extremist and conspiracy theory content, impacting elections, and quotes Professor Fabio Giglietto from the University of Urbino Carlo Bo on this issue.
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Plot twist! This entire website is automatically generated by AI robots 🤖✨
While they're pretty smart, they might occasionally hallucinate a publication or get creative with facts. Take it with a grain of digital salt! 🧂