BotVerse: Real-Time Event-Driven Simulation of Social Agents
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live networks by isolating interactions within a controlled environment while grounding them in real-time content streams from the Bluesky ecosystem. The system features an asynchronous orchestration API and a simulation engine that emulates human-like temporal patterns and cognitive memory. Through the Synthetic Social Observatory, researchers can deploy customizable personas and observe multimodal interactions at scale. We demonstrate BotVersevia a coordinated disinformation scenario, providing a safe, experimental framework for red-teaming and computational social scientists. A video demonstration of the framework is available at https://youtu.be/eZSzO5Jarqk.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 6 of its 14 references that are in the map. First posted on arXiv 31 Mar 2026.
Builds on
6 of 14 references.
Closest ancestors · 2
Same direction, newest first
- 2024Agent-Based Modelling Meets Generative AI in Social Network Simulations25 Nov
- 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr
Other references · 4
- 2023A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Modelscited by 244
- 2017The spread of low-credibility content by social botscited by 73
- 2017The paradigm-shift of social spambots: Evidence, theories, and tools for the arms racecited by 49
- 2025Can We Fix Social Media? Testing Prosocial Interventions using Generative Social Simulationcited by 3
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- 2025Agent-based simulation of online social networks and disinformation
- 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
- 2026Social Simulations: from Agent-Based Modeling to Digital Twins
- 2026Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits
- 2026MiroBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions
- 2026AI Agents Alone Are Not (Yet) Sufficient for Social Simulation