LLM-Augmented Agent-Based Simulation of Cyber Social Agents

Computer Science > Multiagent Systems

[Submitted on 22 Aug 2026]

Title:LLM-Augmented Agent-Based Simulation of Cyber Social Agents

View PDF HTML (experimental)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 discourse in both constructive and destructive ways. This work conceptualizes these automated actors as \textbf{Cyber Social Agents} through a taxonomy of archetypes characterized by their operational tactics and rhetorical style. We integrate this taxonomy into an LLM-driven social simulation, where agents communicate and coordinate in a network environment. Using empirically grounded CSA personas, we simulate heterogeneous online societies to study how agent diversity shapes information diffusion and social influence. Our approach bridges the gap between rule-based agent models and LLM-powered simulations with generated agents that are parameterized from empirical data.

Submission history

From: Lynnette Hui Xian Ng [view email][v1] Sat, 22 Aug 2026 12:43:36 UTC (1,963 KB)

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