Agent-based simulation of online social networks and disinformation

• URL: http://arxiv.org/abs/2512.22082v1
• Date: Fri, 26 Dec 2025 16:56:45 GMT
• Title: Agent-based simulation of online social networks and disinformation
• Authors: Alejandro Buitrago López, Alberto Ortega Pastor, David Montoro Aguilera, Mario Fernández Tárraga, Jesús Verdú Chacón, Javier Pastor-Galindo, José A. Ruipérez-Valiente,
• Abstract summary: This paper presents a simulation framework that models synthetic social networks with agents endowed with demographic-based personality traits and finite-state behavioral automata.<n>A generative module powered by a large language model (LLM) produces context-aware social media posts consistent with each agent's profile and memory.<n>A red module implements DISARM-inspired disinformation campaigns executed by malicious agents targeting simulated audiences.
• Score: 35.38015952060615
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Research on online social networks (OSNs) is often hindered by platform opacity, limited access to data, and ethical constraints. Simulation offer a valuable alternative, but existing frameworks frequently lack realism and explainability. This paper presents a simulation framework that models synthetic social networks with agents endowed with demographic-based personality traits and finite-state behavioral automata, enabling realistic and interpretable actions. A generative module powered by a large language model (LLM) produces context-aware social media posts consistent with each agent's profile and memory. In parallel, a red module implements DISARM-inspired workflows to orchestrate disinformation campaigns executed by malicious agents targeting simulated audiences. A Mastodon-based visualization layer supports real-time inspection and post-hoc validation of agent activity within a familiar interface. We evaluate the resulting synthetic social networks using topological metrics and LLM-based content assessments, demonstrating structural, behavioral, and linguistic realism. Overall, the framework enables the creation of customizable and controllable social network environments for studying information dynamics and the effects of disinformation.

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