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 Professor of Internet Studies in the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo. His work examines the theory of information, communication, and society with a particular focus on the interplay between social systems, media, and digital technologies. He teaches Internet Studies and leads projects that blend communication theory with computational methods to better understand platform dynamics and their societal impact.

His research has appeared in leading journals such as Journal of Communication, Information, Communication & Society, Journal of Broadcasting & Electronic Media, Social Media + Society, and Social Science Computer Review. Among his most cited works are studies on second-screen participation, the methodological opportunities and limits of using social platforms as research data sources, the circulation of false information within hybrid news systems, and coordinated link-sharing behavior around elections. With 20 publications and over 1,800 citations, his scholarship contributes both empirical evidence and conceptual clarity to debates on platform governance, misinformation, and public discourse.

Giglietto’s current projects center on social media analysis, disinformation ecosystems, and computational social science approaches to studying political communication and media manipulation. He frequently collaborates on interdisciplinary initiatives that advance transparency and accountability in digital platforms, including the development of open, reproducible workflows for detecting coordinated behaviors and mapping information flows around major civic events. He engages actively with professional networks to share ongoing work, discuss emerging methodological standards, and translate research insights into policy-relevant recommendations.

At Urbino, he mentors students and early-career scholars in research design, data ethics, and mixed-methods analysis, fostering collaborations across academia, civil society, and news organizations. Grounded in a commitment to rigorous methods and public relevance, his teaching and research aim to illuminate how digital infrastructures shape contemporary communication—and how evidence-based interventions can help strengthen informed democratic participation.

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

Recent Publications

TRANSFORMATIVE TOOLS, EMERGING CHALLENGES: EMPIRICAL AND PRACTICAL EXPERIENCES WITH LARGE LANGUAGE MODELS FOR TEXT CLASSIFICATION AND ANNOTATION IN COMMUNICATION STUDIES

Choucair, T., Kathirgamalingam, A., Lind, F., Bernhard, J., Boomgaarden, H., Oliveira, B., Maia, R., Vodden, L., Esau, K., Bruns, A., Svegaard, S., Farfan, K., Meyer, H., Puschmann, C., Brüggemann, M., Giglietto, F., Rossi, L., Righetti, N., & Marino, G. (2025). TRANSFORMATIVE TOOLS, EMERGING CHALLENGES: EMPIRICAL AND PRACTICAL EXPERIENCES WITH LARGE LANGUAGE MODELS FOR TEXT CLASSIFICATION AND ANNOTATION IN COMMUNICATION STUDIES. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2024i0.14102

THE BRAZILIAN DIGITAL BATTLEFIELD: INVESTIGATING THE DYNAMICS OF POLITICAL INFORMATION CAMPAIGNS IN POST-BOLSONARO ERA

Marino, G., Almeida Paroni, B., & Giglietto, F. (2024). THE BRAZILIAN DIGITAL BATTLEFIELD: INVESTIGATING THE DYNAMICS OF POLITICAL INFORMATION CAMPAIGNS IN POST-BOLSONARO ERA. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2024i0.13999

Analisi Computazionale del Parallelismo Politico in Italia: Il Caso delle Elezioni 2022

Giglietto, F. (2024). Analisi Computazionale del Parallelismo Politico in Italia: Il Caso delle Elezioni 2022. .

Evaluating Embedding Models for Clustering Italian Political News: A Comparative Study of Text-Embedding-3-Large and UmBERTo

Giglietto, F. (2024). Evaluating Embedding Models for Clustering Italian Political News: A Comparative Study of Text-Embedding-3-Large and UmBERTo. Center for Open Science. https://doi.org/10.31219/osf.io/2j9ed

Facebook reactions in the context of politics and social issues: a systematic literature review

Anwar, S., & Giglietto, F. (2024). Facebook reactions in the context of politics and social issues: a systematic literature review. Frontiers in Sociology. https://doi.org/10.3389/fsoc.2024.1379265

Research Projects

vera.ai - VERification Assisted by Artificial Intelligence

vera.ai - VERification Assisted by Artificial Intelligence

An EU-funded Horizon Europe project developing advanced AI-based tools to assist journalists and fact-checkers in verifying multimedia content and combating disinformation. As Work Package 4 leader, I focus 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).

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📚 FG's #toread

News & Updates

  • October 04, 2025

    #toread #paper The complexity of misinformation extends beyond virus and warfare analogies by Frischlich, Lena et al. https://scholar.google.com/schol...

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  • September 27, 2025

    #toread #paper Real time detection of coordinated bots on Bluesky by Rodríguez Farrés, Pol, Masali, Athina, Cerquides, Jesus https://scholar.google.co...

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  • September 23, 2025

    #toread #paper Leveraging VLLMs for visual clustering: Image-to-text mapping shows increased semantic capabilities and interpretability by Arminio, Lu...

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