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 Full 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 how social systems, media, and digital technologies intersect. He teaches Internet Studies and leads projects that combine computational methods with critical social science to understand platformed communication, public discourse, and the dynamics of mis/disinformation.

Giglietto’s research has been published in leading journals including Journal of Communication, Information, Communication & Society, Journal of Broadcasting & Electronic Media, Social Media + Society, and Social Science Computer Review. His highly cited works span second-screen participation on Twitter, the methodological opportunities and limits of using social platforms as research data sources, and the detection of coordinated link-sharing behaviors during Italian elections. He also investigates the circulation of false information within hybrid news systems and the discursive strategies that emerge around major socio-political events.

Recent projects reflect his ongoing commitment to transparent, policy-relevant research on platform governance and information integrity, leveraging large-scale social media datasets, open-source tools, and collaborative, cross-national research networks. He frequently shares insights from ongoing studies of election information ecosystems, platform policy changes, and emerging forms of strategic amplification across networks, bringing together computational social science and qualitative analysis to illuminate how attention and influence are organized online.

Across his teaching, research, and public engagement, Giglietto mentors students and collaborates with journalists, civil society, and institutions to translate rigorous evidence into actionable knowledge. With a portfolio of 20 publications and over 1,800 citations, he continues to advance interdisciplinary understanding of digital media systems and to develop practical approaches for studying complex, rapidly evolving information environments.

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 24, 2025

    #toread #paper The risks of industry influence in tech research by Bak-Coleman, Joseph et al. https://scholar.google.com/scholar?q=The%20risks%20of%20...

    Read more
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