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Marco Minici

Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences
Auditing LLM Editorial Bias in News Media Exposure
Engagement-Driven Content Generation with Large Language Models
Modeling events and interactions through temporal processes: A survey
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
Engagement-Driven Content Generation with Large Language Models
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
Fighting Misinformation, Radicalization and Bias in Social Media
Modeling Events and Interactions through Temporal Processes - A Survey
Cascade-based Echo Chamber Detection
Cascade-based Echo Chamber Detection
Towards Extreme Multi-Label Classification of Multimedia Content
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper)