460 citations · 1.3k across the 34 of their papers we have counts for
38 papers
From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference
John Bianchi, Manuel Pratelli, Fabio Pinelli +1
Traditionally, the reliability of news publishers is assessed by expert organisations that evaluate editorial practices, transparency and factual standards at source. When this pro…
Overview of ROMCIR 2026: The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval
Marcos Fernández-Pichel, Marinella Petrocchi, Kevin Roitero +1
In the digital online ecosystem, we are surrounded by distinct forms of information pollution, posing significant threats to both individuals and society. Fake news, for instance,…
Automated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers
John Bianchi, Luca Petrillo, Fabio Martinelli +1
Mapping cloud security controls to technical metrics is currently a manual process. This paper proposes domain adaptation of Sentence Transformer models to automate it. We build a…
BotVerse: Real-Time Event-Driven Simulation of Social Agents
Edoardo Allegrini, Edoardo Di Paolo, Angelo Spognardi +1
BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live netw…
Evaluating the Simulation of Human Personality-Driven Susceptibility to Misinformation with LLMs
Manuel Pratelli, Marinella Petrocchi
Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data…
On the efficacy of old features for the detection of new bots
Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli
For more than a decade now, academicians and online platform administrators have been studying solutions to the problem of bot detection. Bots are computer algorithms whose use is…