8 papers
Auditing LLM Editorial Bias in News Media Exposure
Marco Minici, Cristian Consonni, Federico Cinus +1
Large Language Models (LLMs) increasingly act as gateways to web content, shaping how millions of users encounter online information. Unlike traditional search engines, whose retri…
The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation
Giovanni Mauro, Marco Minici, Luca Pappalardo
Next-venue recommender systems are increasingly embedded in location-based services, shaping individual mobility decisions in urban environments. While their predictive accuracy ha…
Engagement-Driven Content Generation with Large Language Models
Erica Coppolillo, Federico Cinus, Marco Minici +2
Large Language Models (LLMs) demonstrate significant persuasive capabilities in one-on-one interactions, but their influence within social networks, where interconnected users and…
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
Federico Cinus, Marco Minici, Luca Luceri +1
Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily focused on identifyin…
IOHunter: Graph Foundation Model to Uncover Online Information Operations
Marco Minici, Luca Luceri, Francesco Fabbri +1
Social media platforms have become vital spaces for public discourse, serving as modern agorà s where a wide range of voices influence societal narratives. However, their open natu…
Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion
Marco Minici, Luca Luceri, Federico Cinus +1
Information Operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation…