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LLM-Augmented Simulation Models Cyber Social Agents

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel approach to simulating online social dynamics by conceptualizing automated actors as Cyber Social Agents (CSAs). This framework integrates a taxonomy of CSA archetypes, defined by their operational tactics and rhetorical styles, into a Large Language Model (LLM)-driven simulation. The simulation allows these agents to communicate and coordinate within a network environment, enabling the study of how agent diversity influences information diffusion and social influence in online societies. AI

IMPACT This research could lead to more sophisticated understanding and modeling of online social dynamics and information propagation.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new simulation methodology. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-Augmented Simulation Models Cyber Social Agents

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The cluster contains a research paper published on arXiv detailing a new simulation methodology. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lynnette Hui Xian Ng, Kathleen M. Carley ·

    LLM-Augmented Agent-Based Simulation of Cyber Social Agents

    arXiv:2610.32988v1 Announce Type: cross Abstract: Social media bots are often portrayed as malicious automations to be detected and removed, but automation on social media platforms encompasses a wide spectrum of roles, behaviors, and rhetorical strategies that can shape online d…

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