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, serves as a Full Professor of Internet Studies at the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo. In this role, he not only imparts knowledge through teaching Internet Studies but also actively contributes to the body of research in his field. His academic journey is distinguished by a deep-seated interest in the interplay between social systems, media, and digital technologies—a focus that has guided his extensive publication record. Noteworthy among his contributions are insightful articles in prestigious journals including the Journal of Communication, Information, Communication & Society, and the Journal of Broadcasting and Electronic Media, which collectively underscore his impact on the academic community.

Giglietto’s scholarly work is characterized by a rigorous examination of the dynamics at the intersection of theory of information, communication, and society. His research delves into the nuanced relationships between social media and societal shifts, disinformation, and the evolution of digital communication platforms. This has not only positioned him as a thought leader in Internet Studies but has also translated into significant contributions to the understanding of digital culture's impact on modern society. His recent projects and publications, which explore the manipulation of media narratives and the strategic use of social media during electoral processes, have attracted considerable attention, amassing over 1800 citations across his 20 publications.

Outside the confines of academic journals, Professor Giglietto engages with a broader audience through various digital platforms, where he frequently shares insights into his current research activities and interests in computational social science and social media analysis. This engagement underscores his commitment to not only advancing academic understanding within his field but also fostering a public discourse on the implications of digital technologies on society. His active participation in professional communities, coupled with his ongoing exploration of how digital platforms can serve as tools for both research and misinformation, continues to contribute to his reputation as a leading figure in 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 26, 2025

    Innovative methodologies for analyzing climate denial narratives on Instagram have been introduced by Gardam, Caroline et al., employing a visual-first approach to scrutinize conspiracy theory discourse.

    Read more
  • November 18, 2025

    Recent developments in AI's relationship with public engagement have been highlighted through the work of Matias, J Nathan, and Price, Megan, focusing on enhancing the science of AI through public involvement.

    Read more
  • November 16, 2025

    A comprehensive analysis of Grokipedia changes post-Elon's involvement has been meticulously conducted by Triedman, Harold, and Mantzarlis, Alexios, offering deep insights into the platform's evolution.

    Read more
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