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Giuseppe Fenza

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#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, G. Fenza, Rida Khatoun · 1 citation
#machine learning Open access Sep 2026

Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion

This work proposes a framework based on Friedkin-Johnsen (FJ) to identifies influential users and study their impact on dynamics opinions of community and shows that influencers with highest influencing score, significantly shift the overall community opinion.

Omran Berjawi, Rida Khatoun, G. Fenza · 2 citations

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