Fabio Giglietto

Fabio Giglietto

Professor of Internet Studies

University of Urbino

fabio.giglietto@uniurb.it

Department of Communication Sciences, Humanities and International Studies

About Me

Fabio Giglietto, PhD, is Full Professor of Internet Studies at the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo. His research explores the intricate relationships between social systems, media, and digital technologies, focusing on the theory of information, communication, and society. His work has been published in journals such as the Journal of Communication, Information, Communication & Society, the Journal of Broadcasting and Electronic Media, Social Media + Society, and Social Science Computer Review. According to Google Scholar, his publications have garnered over 2200 citations.

Professor Giglietto's current research interests include coordinated behavior detection, multimodal narratives, and the challenges of social media data access. He leads the Mapping Italian News Research Program (MINE), which investigates Italian news media coverage and the impact of social media on Italian elections. He is also involved in the EU-funded Horizon Europe project VERAAI, which is developing AI-based tools to assist journalists and fact-checkers in verifying multimedia content and combating disinformation, with a focus on detecting coordinated behavior and inauthentic networks spreading misleading content. Additionally, he contributes to the EU-funded PROMPT initiative, which addresses disinformation narratives across Europe. His recent work includes an analysis of Meta's political content reduction policy and its impact on the reach of Italian parliamentarians on Facebook.

This academic year, Professor Giglietto is teaching courses such as Generative AI and Media and Digital Social Network Analysis. These courses reflect his engagement with contemporary issues in digital communication, including the impact of AI on the media system and methods for analyzing online social networks. As part of the VERAAI Alerts project, he has tracked and analyzed coordinated accounts on Facebook, identifying coordinated posts and accounts, with notable activity in large groups and networks. He actively participates in professional discussions on platforms like BlueSky (@fabiogiglietto.bsky.social) and Mastodon (@fabiogiglietto@aoir.social), addressing topics such as platform policies and research methodologies.

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

Recent Publications

"A Pretty Blunt Approach": Meta's Political Content Reduction Policy and Italian Parliamentarians' Facebook Visibility

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

The State of Social Media Research APIs & Tools in the Digital Service Act Era

Giglietto, F. (2025). The State of Social Media Research APIs & Tools in the Digital Service Act Era. Zenodo. https://doi.org/10.5281/zenodo.16269197

Manipolazione dei media ed influenza digitale. Sfide, tecnologie e risposte

Giglietto, F. (2025). Manipolazione dei media ed influenza digitale. Sfide, tecnologie e risposte. .

Viralità

Giglietto, F. (2025). Viralità. .

"A Pretty Blunt Approach": Meta's Political Content Reduction Policy and Italian Parliamentarians' Facebook Visibility

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_v1

Research Projects

vera.ai - VERification Assisted by Artificial Intelligence

vera.ai - VERification Assisted by Artificial Intelligence

An EU-funded Horizon Europe project that developed advanced AI-based tools to assist journalists and fact-checkers in verifying multimedia content and combating disinformation. As Work Package 4 leader, I focused on the detection of coordinated behavior and inauthentic networks spreading misleading content.

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PROMPT - Predictive Research On Misinformation and Narratives Propagation Trajectories

PROMPT - Predictive Research On Misinformation and Narratives Propagation Trajectories

An EU-funded initiative focused on detecting and analyzing disinformation narratives across 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.

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MINE - Mapping Italian News Research Program

MINE - Mapping Italian News Research Program

A research program investigating Italian news media coverage and the impact of social media on Italian elections, leveraging data from Social Science One and grant funding from the Social Science Research Council (SSRC).

Learn more

📚 FG's #toread

News & Updates

  • February 12, 2026

    Scholarly attention is directed towards the dynamics of online polarization. Newly surfaced papers examine the sedimentation of polarization on political Reddit, the rhetorical mechanisms that drive online polarization, and the role of journalistic strategies in the formation of conspiracy beliefs.

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  • February 11, 2026

    The impact of digital platforms on news consumption and political discourse is under scrutiny in newly highlighted research. Studies analyze the role of 'fake news' in U.S. alternative media, the differing narratives surrounding immigration on TikTok, and the accountability of internet platforms for their actions.

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  • February 09, 2026

    Recent publications highlight the ongoing investigation into misinformation and its various facets. Studies explore topics such as the effects of anti-vaccine tweets on COVID-19 outcomes, the role of influencer-driven misinformation in fostering online toxicity, and the potential threats posed by malicious AI swarms to democratic processes. Also noted is research into how prebunking techniques work on social media.

    Read more
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