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 prolific career dedicated to exploring the intricate relationships between social systems, media, and digital technologies, Professor Giglietto has emerged as a leading voice in the field of Internet Studies. His teaching and research delve deep into the theory of information, communication, and society, shedding light on the dynamic interplay between digital platforms and social interaction. His extensive publication record, including impactful works in top-tier journals such as the Journal of Communication and Information, Communication & Society, underscores his significant contributions to the discourse on digital media and society.

Throughout his career, Professor Giglietto has maintained a keen interest in the mechanisms of disinformation and the role of social media in shaping public opinion. His recent research projects have focused on social media analysis, computational social science, and the detection and analysis of disinformation campaigns, particularly in the context of political communication. Notably, his work on the coordinated link-sharing behavior during the Italian elections has provided pivotal insights into the strategies employed to manipulate media narratives. This body of work not only highlights the relevance of Professor Giglietto’s research in understanding contemporary challenges but also showcases his expertise in employing computational methods to dissect complex social phenomena.

Professor Giglietto's engagement with academic and professional communities extends beyond publication. His active participation in discussions on platforms like BlueSky and LinkedIn reveals a commitment to fostering dialogue around the evolving landscape of internet studies. Through these interactions, he continually explores the latest trends in digital technology usage, the implications of social media dynamics, and the broader impacts of digital transformation on society. His dedication to advancing our understanding of the digital world, combined with his active involvement in scholarly and public discourse, positions Professor Giglietto as a pivotal figure in navigating the complexities of internet studies today.

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.

Learn more
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.

Learn more
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).

Learn more

📚 FG's #toread

News & Updates

  • December 26, 2025

    Recent scholarly contributions highlight the importance of understanding the dynamics of social media in the modern digital landscape. Notable works include 'Detecting coordinated activities through temporal, multiplex, and collaborative analysis' and 'The post-API age of social media data access: Past, present, and future,' shedding light on the complexities of online social interactions and data access challenges respectively.

    Read more
  • December 05, 2025

    In a significant move towards transparency, the European Union's recent fine against a major tech company for data access breaches has included a notable portion specifically earmarked for researchers. This decision underscores the critical role of academic research in shaping tech policy and regulation, and the necessity of robust, transparent data access for scholars.

    Read more
  • December 01, 2025

    Emerging research on 'Platform-independent experiments on social media' promises to revolutionize our approach to studying digital platforms. By focusing on methodology that transcends specific social media ecosystems, this work paves the way for more comprehensive insights into user behavior and platform dynamics.

    Read more
Loading GitHub activity...
🤖
Plot twist! This entire website is automatically generated by AI robots 🤖✨
While they're pretty smart, they might occasionally hallucinate a publication or get creative with facts. Take it with a grain of digital salt! 🧂