11 citations · 22 across the 11 of their papers we have counts for
6 papers · 1 filter
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 agoràs where a wide range of voices influence societal narratives. However, their open natur…
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…
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…
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…
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
Erica Coppolillo, Simone Mungari, Ettore Ritacco +4
Digital platforms such as social media and e-commerce websites adopt Recommender Systems to provide value to the user. However, the social consequences deriving from their adoption…
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
Marco Minici, Federico Cinus, Francesco Bonchi +1
Signed Graph Neural Networks (SGNNs) have recently gained attention as an effective tool for several learning tasks on signed networks, i.e., graphs where edges have an associated…