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Giuseppe Fenza

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#machine learning Preprint Sep 2026

Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks

The study of opinion dynamics in social networks is one of the key challenges in computational social science with direct relevance to understanding political polarization, misinformation, and health responses. Current approaches focus on simplified mathematical models that ignore linguistic and contextual factors rela...

Omran Berjawi, Giuseppe Fenza, Rida Khatoun et al. · 0 citations
#machine learning Preprint Sep 2026

Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric

Large language models (LLMs) are increasingly deployed in applications involving interaction between agents, where their output plays a role in collective reasoning and decision-making processes. Despite significant research into the functioning of LLMs in such multi-agent systems, the processes of bias propagation in...

Omran Berjawi, Giuseppe Fenza, Rida Khatoun · 0 citations

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