Fabio Giglietto
Professor of Internet Studies
University of Urbino
Department of Communication Sciences, Humanities and International Studies
About Me
Fabio Giglietto, PhD, is a Full Professor of Internet Studies at the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo. He teaches courses such as Generative AI and Media, and Digital Social Network Analysis. His research explores the multifaceted relationships between social systems, media, and digital technologies, with a focus on the theory of information, communication, and society.
Professor Giglietto's work has been published in leading journals, including the Journal of Communication, Information, Communication & Society, the Journal of Broadcasting and Electronic Media, Social Media + Society, and Social Science Computer Review. His publications have received over 2200 citations. 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 for journalists and fact-checkers to verify multimedia content and combat disinformation, with a focus on detecting coordinated behavior and inauthentic networks. Additionally, he contributes to the EU-funded PROMPT initiative, which addresses disinformation narratives across Europe.
His current research interests include coordinated behavior detection, multimodal narratives, and the challenges of social media data access. Professor Giglietto actively participates in professional discussions on platforms like BlueSky (@fabiogiglietto.bsky.social) and Mastodon, addressing topics such as platform policies and research methodologies. His recent work includes an analysis of Meta's political content reduction policy and its impact on the reach of Italian parliamentarians on Facebook. As part of the VERAAI Alerts project, he has been tracking and analyzing coordinated accounts on Facebook, identifying coordinated posts and accounts within large groups and networks.
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
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
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
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 moreNews & Updates
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February 27, 2026
Recent research explores integrating topic modeling and LLM prompt engineering within a human-driven approach to analyze interview transcripts, offering a novel methodology for qualitative data analysis.
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February 26, 2026
A newly released study investigates the reliance of large language models on curated context for reliable political fact-checking, even when equipped with reasoning capabilities and web search functionality. The findings highlight the critical role of context in ensuring the accuracy of LLM-driven fact-checking.
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February 25, 2026
A new paper examines the online sharing of misinformation by elected officials, focusing on the institutional and ideological factors that influence this behavior. The study provides insights into the mechanisms driving the spread of misinformation by political actors.
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Recent Web and News Mentions
Presentation (Video): OpenAI Models for Topic Modelling in Social Media Analysis - Vera.ai
The Persistence and Resilience of Misinformation in the Face of Fact Checking - Vera.ai
Integrating Large Language Models in Political Discourse Studies on Social Media: Challenges of Validating an LLMs-in-the-loop Pipeline | Sociologica
SICSS-Bologna - Summer Institute in Computational Social Science
"A Pretty Blunt Approach": Meta's Political Content Reduction Policy and Italian Parliamentarians' Facebook Visibility | Sciety
While they're pretty smart, they might occasionally hallucinate a publication or get creative with facts. Take it with a grain of digital salt! 🧂