4 papers · 1 filter
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
Nicolò Pagan, Christopher Barrie, Chris Andrew Bail +1
Large Language Models (LLMs) are increasingly deployed to curate and rank human-created content, yet the nature and structure of their biases in these tasks remains poorly understo…
Learning to Control Misinformation: a Closed-loop Approach for Misinformation Mitigation over Social Networks
Nicolo' Pagan, Andreas Philippou, Giulia De Pasquale
Modern social networks rely on recommender systems that inadvertently amplify misinformation by prioritizing engagement over content veracity. We present a control framework that m…
Dynamics of toxic behavior in the Covid-19 vaccination debate
Azza Bouleimen, Nicolò Pagan, Stefano Cresci +2
In this paper, we study the behavior of users on Online Social Networks in the context of Covid-19 vaccines in Italy. We identify two main polarized communities: Provax and Novax.…
User's Reaction Patterns in Online Social Network Communities
Azza Bouleimen, Nicolò Pagan, Stefano Cresci +3
Several one-fits-all intervention policies were introduced by the Online Social Networks (OSNs) platforms to mitigate potential harms. Nevertheless, some studies showed the limited…