activity
20222025
most citedLink Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2025

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…

cs.LG2024

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…

cs.SI2024★ 2 cited

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…

cs.LG2023★ 2 cited

Modeling Events and Interactions through Temporal Processes -- A Survey

Angelica Liguori, Luciano Caroprese, Marco Minici +5

In real-world scenario, many phenomena produce a collection of events that occur in continuous time. Point Processes provide a natural mathematical framework for modeling these seq…

cs.SI2022★ 1 cited

Cascade-based Echo Chamber Detection

Marco Minici, Federico Cinus, Corrado Monti +2

Despite echo chambers in social media have been under considerable scrutiny, general models for their detection and analysis are missing. In this work, we aim to fill this gap by p…