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...· 1 citation
This paper introduces the first multi-agent framework for fake news generation, where specialized LLM-powered agents collaboratively transform authentic news articles into falsified yet plausible versions, achieving deception success rates exceeding 90% while maintaining high semantic similarity to original articles.
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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