LLM-Augmented Agent-Based Simulation of Cyber Social Agents

The paper introduces the concept of Cyber Social Agents (CSAs), automated actors on social media defined by a taxonomy of archetypes based on operational tactics and rhetorical style. It integrates this taxonomy into a large language model (LLM)-driven simulation where agents interact within a network, allowing the study of how diverse agent types influence information diffusion and social influence. The approach bridges rule‑based agent models and LLM‑powered simulations by parameterizing generated agents with empirically grounded CSA personas.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• llms
• agents
• diffusion