Understanding the dynamics of stance change on social media is crucial for addressing polarization and information integrity, yet observational studies face challenges including limited experimental control, restricted data access, and algorithmic confounds. We leverage Generative Agent-Based Modeling (GABM)—a novel si...
Valerio La Gatta, Gian Marco Orlando, Marco Perillo et al.· Proceedings of the 37th ACM...· 0 citations
The proliferation of Large Language Models (LLMs) has significantly lowered the barriers to generating sophisticated misinformation, posing unprecedented challenges to fake news detection systems. Although generative agents have shown promise in constructive applications like fact-checking workflows, their potential fo...
Gian Marco Orlando, Diego Russo, Valerio La Gatta et al.· ACM Transactions on Intellig...· 0 citations
PALAUNER (Policy-based Active Learning to Augment Named Entity Recognition), a reinforcement learning framework that learns to select high-quality samples from augmented data pools, providing a generalizable solution for training data quality enhancement.
M. Postiglione, Andrea Vignali, Giancarlo Sperlí et al.· Data mining and knowledge di...· 0 citations
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