Marco Viviani

Marco Viviani is an Associate Professor at the Università degli Studi di Milano-Bicocca, Department of Informatics, Systems, and Communication (DISCo). His academic journey includes a Ph.D. in Informatics from Università degli Studi di Milano (2008), postdoctoral research at institutions in France and Italy, and tenure-track Assistant Professorship at Università degli Studi di Milano-Bicocca (2019–2021).

Research Interests: Viviani’s work focuses on Social Computing, Information Retrieval, Text Mining, and Natural Language Processing, with a particular emphasis on combating online information disorder, health misinformation, and enhancing data privacy. His methodologies integrate Trust and Reputation Management with User Modeling, addressing challenges in cross-encoder re-ranking, retrieval-augmented generation, and query sanitization.

Editorial and Organizational Roles: He serves as Associate Editor for Social Network Analysis and Mining (SNAM) and Frontiers in Artificial Intelligence – Natural Language Processing, and as Area Editor for the International Journal of Computational Intelligence Systems. Viviani has co-chaired numerous workshops and conferences, including ROMCIR 2025 (ECIR), AI4BigData workshops (FLAIRS-33, FLAIRS-32), and tracks at AICSSA 2024–2023. He also organized special issues on Health Misinformation and Information Analysis in Social Media.

Scientific Awards:

• Best Paper Runner-up Award at OASIS ’23 (Hypertext 2023, Rome, Italy)

Advising and Collaborations: Viviani has supervised or co-supervised over 40 Ph.D., Master’s, and Bachelor’s theses across topics such as echo chambers, fake news detection, and NLP applications in health and legal domains. He collaborates on international projects like KURAMi (PRIN 2022), LeMuR (MSCA-DN), and DoSSIER (EU Horizon 2020 ITN/ETN), focusing on user empowerment, data privacy, and domain-specific information retrieval systems.