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, holds the esteemed position of Full Professor of Internet Studies at the Department of Communication Sciences, Humanities, and International Studies at the University of Urbino Carlo Bo. With a profound dedication to teaching Internet Studies, Professor Giglietto's academic journey is characterized by a vibrant passion for exploring the intricate dynamics between information theory, communication, and society. His research meticulously examines the interplay between social systems, media, and digital technologies, areas in which he has significantly contributed through publications in renowned journals such as the Journal of Communication, Information, Communication & Society, the Journal of Broadcasting and Electronic Media, Social Media + Society, and Social Science Computer Review.

In recent years, Professor Giglietto's investigative focus has expanded to encompass critical issues such as social media analysis, disinformation, and computational social science. This shift reflects a keen responsiveness to evolving digital landscapes and a commitment to addressing some of the most pressing challenges in contemporary society. His work, often shared on platforms like BlueSky (@fabiogiglietto.bsky.social), not only highlights his ongoing projects but also serves as a beacon for scholarly discussion and public engagement on topics vital for understanding digital communication's impact on global communities.

Professor Giglietto's academic leadership is further evidenced by his active participation in the academic and local community, where he applies his expertise to foster a deeper understanding of digital cultures. Whether through securing research grants, contributing to collaborative projects, or engaging with the public via social media, his efforts are geared towards enriching the discourse on digital technologies and their societal implications. At the University of Urbino Carlo Bo, Professor Giglietto continues to inspire students and colleagues alike, embodying a commitment to excellence in research, teaching, and community service in the field of Internet Studies.

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

  • November 08, 2025

    A groundbreaking framework for analyzing online rumors regarding election integrity was introduced by Starbird, Kate, Prochaska, Stephen, and Yamron, Ben in their study 'What is going on? An evidence-frame framework for analyzing online rumors about election integrity'. This work provides critical tools for dissecting and understanding the complexities of misinformation in the digital age.

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  • November 08, 2025

    In a recently highlighted study, 'Emergent coordinated behaviors in networked LLM agents: Modeling the strategic dynamics of information operations' showcases groundbreaking insights into the dynamics of information operations through large language models. This research, led by Orlando, Gian Marco, et al., marks a significant advancement in understanding the strategic behaviors in digital communications.

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  • October 22, 2025

    The Association of Internet Researchers' 2025 conference in Brazil proved to be both exhilarating and intense, as recounted by participants. The unique blend of energy and exhaustion experienced at the event has been humorously proposed to be dubbed "exhurgizing," highlighting the profound impact of such academic gatherings on its attendees.

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