Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). - Luciano Caroprese; Giuseppe Manco 001; Marco Minici; Francesco Sergio Pisani; Ettore Ritacco (SEBD, 2021)

Cascade-based Echo Chamber Detection. - Marco Minici; Federico Cinus; Corrado Monti; Francesco Bonchi; Giuseppe Manco 001 (CIKM, 2022)

The Effect of People Recommenders on Echo Chambers and Polarization. - Federico Cinus; Marco Minici; Corrado Monti; Francesco Bonchi (ICWSM, 2022)

Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. - Marco Minici; Francesco Sergio Pisani; Massimo Guarascio 001; Erika De Francesco; Pasquale Lambardi (ISMIS, 2022)

Towards Extreme Multi-Label Classification of Multimedia Content. - Marco Minici; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (SEBD, 2022)

Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction. - Erica Coppolillo; Massimo Guarascio 001; Marco Minici; Francesco Sergio Pisani (IDEAS, 2023)

Fighting Misinformation, Radicalization and Bias in Social Media. - Erica Coppolillo; Carmela Comito; Marco Minici; Ettore Ritacco; Gianluigi Folino; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (Ital-IA, 2023)

Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. - Marco Minici; Federico Cinus; Francesco Bonchi; Giuseppe Manco 001 (CIKM, 2024)

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. - Luca Caviglione; Carmela Comito; Erica Coppolillo; Daniela Gallo; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Minici; Simone Mungari; Francesco Sergio Pisani; Ettore Ritacco; Antonino Rullo; et al. (Ital-IA, 2024)

A Preliminary Investigation of User- and Item-Centered Bias in POI Recommendation. - Giovanni Mauro; Marco Minici; Chiara Pugliese (MDM, 2024)

Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion. - Marco Minici; Luca Luceri; Federico Cinus; Emilio Ferrara (CoRR, 2024)

Engagement-Driven Content Generation with Large Language Models. - Erica Coppolillo; Federico Cinus; Marco Minici; Francesco Bonchi; Giuseppe Manco 001 (CoRR, 2024)

Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. - Massimo Guarascio 001; Marco Minici; Francesco Sergio Pisani; Erika De Francesco; Pasquale Lambardi (J. Intell. Inf. Syst., 2024)

Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. - Erica Coppolillo; Marco Minici; Ettore Ritacco; Luciano Caroprese; Francesco Sergio Pisani; Giuseppe Manco 001 (ACM Trans. Intell. Syst. Technol., 2024)

Uncovering coordinated cross-platform information operations: Threatening the integrity of the 2024 U.S. presidential election. - Marco Minici; Federico Cinus; Luca Luceri; Emilio Ferrara (First Monday, 2024)

IOHunter: Graph Foundation Model to Uncover Online Information Operations. - Marco Minici; Luca Luceri; Francesco Fabbri; Emilio Ferrara (AAAI, 2025)

Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election. - Federico Cinus; Marco Minici; Luca Luceri; Emilio Ferrara (WWW, 2025)

Modeling events and interactions through temporal processes: A survey. - Angelica Liguori; Luciano Caroprese; Marco Minici; Bruno Veloso; Francesco Spinnato; Mirco Nanni; Giuseppe Manco 001; João Gama 001 (Neurocomputing, 2025)

Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences. - Erica Coppolillo; Simone Mungari; Ettore Ritacco; Francesco Fabbri; Marco Minici; Francesco Bonchi; Giuseppe Manco 001 (Inf. Process. Manag., 2025)

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation. - Giovanni Mauro; Marco Minici; Luca Pappalardo (CoRR, 2025)