9 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…
Graph-Regularized Sparse Autoencoders for LLM Safety Steering
Jehyeok Yeon, Federico Cinus, Yifan Wu +1
Sparse autoencoders (SAEs) are increasingly used to extract activation directions for inference-time steering, but their standard sparsity objective treats latent features as indep…
A Survey on Algorithmic Interventions in Opinion Dynamics
Atsushi Miyauchi, Yuko Kuroki, Federico Cinus +2
Social media platforms have become critical infrastructures for public communication, where large-scale interaction can both support socially beneficial collective pressure and amp…
Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
Federico Cinus, Yuko Kuroki, Atsushi Miyauchi +1
We study the problem of minimizing polarization and disagreement in the Friedkin-Johnsen opinion dynamics model under incomplete information. Unlike prior work that assumes a stati…
Uncovering the Sociodemographic Fabric of Reddit
Federico Cinus, Corrado Monti, Paolo Bajardi +1
Understanding the sociodemographic composition of online platforms is essential for accurately interpreting digital behavior and its societal implications. Yet, current methods oft…
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…