University of Urbino
Department of Communication Sciences, Humanities and International Studies
Fabio Giglietto, PhD, is 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. He teaches courses such as Generative AI and Media, and Digital Social Network Analysis. 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.
Professor Giglietto's work encompasses social media analysis, computational social science, digital methods, and the study of information disorder. His research also focuses on how digital platforms influence public opinion and democratic processes. 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 publications have appeared 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. Recent work includes an analysis of Meta's political content reduction policy and its impact on the reach of Italian parliamentarians on Facebook. His current research interests include coordinated behavior detection, multimodal narratives, and the challenges of social media data access.
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
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
Giglietto, F. (2025). Manipolazione dei media ed influenza digitale. Sfide, tecnologie e risposte. .
Giglietto, F. (2025). Viralità. .
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
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
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
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 moreSeveral new papers on online communication and AI have been highlighted. These include studies on information pathways in online science communication, dark patterns and the EU Digital Services Act, the failed migration of academics from Twitter, representativeness and response validity across online samples, and recommender systems on X (formerly Twitter) inadvertently profiling user ideologies. Other papers of interest include AI hype in journalism, LLMs inferring political alignment, connective action and digital repression during China's COVID-19 protests, deepfake financial fraud, electoral misinformation in Brazil, and political persuasion using conversational AI.
Read moreThe impact of perceived political bias in Large Language Models (LLMs) on their persuasive abilities is explored in a newly shared paper. Other research investigates how Serbia's SNS party mimics authentic support through coordinated inauthentic behavior.
Read moreA recent article examines how elected officials share misinformation online, considering institutional and ideological factors. Additionally, a paper focusing on the integration of topic modeling and LLM prompt engineering into a human-driven approach for analyzing interview transcripts has been noted.
Read more