Fabio Giglietto

Fabio Giglietto, PhD, is Professor of Internet Studies in 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. He teaches courses such as Generative AI and Media, and Digital Social Network Analysis.

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 garnered 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. Recent work examines the use of Large Language Models (LLMs) for political fact-checking and the integration of topic modeling and LLM prompt engineering for analyzing interview transcripts. 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.