5 papers
An Experimental Comparison of the Most Popular Approaches to Fake News Detection
Pietro Dell'Oglio, Alessandro Bondielli, Francesco Marcelloni +1
In recent years, fake news detection has received increasing attention in public debate and scientific research. Despite advances in detection techniques, the production and spread…
Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
Pietro Dell'Oglio, Alessandro Bondielli, Francesco Marcelloni +1
This study proposes a novel methodology for generating personalized fake news debunking messages by prompting Large Language Models (LLMs) with persona-based inputs aligned to the…
ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
Martina Miliani, Serena Auriemma, Alessandro Bondielli +4
Large Language Models (LLMs) are increasingly used in tasks requiring interpretive and inferential accuracy. In this paper, we introduce ExpliCa, a new dataset for evaluating LLMs…
Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
Giacomo Fidone, Lucia Passaro, Riccardo Guidotti
Online Social Networks (OSNs) widely adopt content moderation to mitigate the spread of abusive and toxic discourse. Nonetheless, the real effectiveness of moderation interventions…
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark
Davide Testa, Giovanni Bonetta, Raffaella Bernardi +5
We introduce MAIA (Multimodal AI Assessment), a native-Italian benchmark designed for fine-grained investigation of the reasoning abilities of visual language models on videos. MAI…