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 a distinguished Professor of Internet Studies at the Department of Communication Sciences, Humanities and International Studies at the University of Urbino Carlo Bo. With a profound interest in the theory of information, communication, and society, his work critically examines the intricate relationships between social systems, media, and digital technologies. His research has been widely published in leading academic journals including the Journal of Communication, Information, Communication & Society, and Social Media + Society. Fabio is recognized for his insightful exploration of how digital platforms shape public discourse and societal interactions.

Professor Giglietto's current research focuses on the analysis of social media dynamics and the spread of disinformation, employing computational social science methods to understand these phenomena's implications on society. His recent projects delve into the role of algorithms in content dissemination and the impact of misinformation on public opinion, reflecting his commitment to addressing pressing challenges in the digital age. His work not only contributes to academic discourse but also informs policy-making and public understanding of digital communication.

Beyond his research, Fabio actively engages with the academic community and broader public through various platforms. He shares insights and updates on his research on BlueSky and Mastodon, where he discusses the latest developments in social media analysis and digital communication strategies. His dedication to interdisciplinary collaboration and knowledge dissemination is evident in his teaching and mentorship, inspiring a new generation of scholars 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

  • June 21, 2025

    A recent article in Sociologica discusses the validation and challenges of LLM-in-the-loop pipelines, predicting their widespread adoption in social sciences. This insightful piece offers a smart approach to pipeline validation.

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  • June 20, 2025

    A critical audit titled 'Forgetful by design?' examines YouTube's search API for academic research. This paper, authored by Rieder, Padilla, and Coromina, provides a crucial analysis of the platform's data accessibility.

    Read more
  • June 13, 2025

    A new study explores the role of WhatsApp in Brazilian political coordination, revealing its impact on real-life protests. This research by Kansaon et al. underscores the platform's influence in political mobilization.

    Read more
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