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, with a focus on the theory of information, communication, and society. His publications have appeared in journals such as the Journal of Communication, Information, Communication & Society, and Social Media + Society. According to Google Scholar, his work has been cited over 2200 times.

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, 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, 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.

Learn more
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.

Learn more
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 03, 2026

    Several recent publications highlight key issues in online communication and platform governance. These include investigations into TikTok's role in shaping immigration narratives, the impact of targeted digital voter suppression, the drivers of online toxicity fueled by influencers, and the effects of textual vs. AI-generated disinformation.

    Read more
  • January 07, 2026

    A study analyzing 2.5 million Facebook posts from Italian members of parliament indicates that Meta's reversal of its political content reduction policy one year prior led to a 72% reach reduction for parliamentarians. The effects were detected ten months before Meta's global rollout, with extremists gaining reach (+14%) while elected officials lost it, according to research available on OSF.

    Read more
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Recent Web and News Mentions

WHO IS BEHIND VERA.AI? Meet: Team of University of Urbino Carlo Bo

veraai.eu Feb 04, 2026
This news article on veraai.eu introduces the team behind the vera.ai project at the University of Urbino Carlo Bo, specifically mentioning Fabio Giglietto's role in leading the team and coordinating Work Package 4 (WP4) focused on detecting problematic content.
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