This article evaluates AI-enabled influence operations in synthetic social networks through controlled simulations of narrative release, amplification, and counter-messaging. We measure exposure and belief change in agentic audiences, showing that amplification maximizes reach, counter-messaging shifts opinions most, and narrative release requires larger attacker footprints.
@article{arxiv.2605.28725,
title = {Execution and assessment of agentic influence operations in simulated social networks},
author = {Alejandro Buitrago López and David Montoro Aguilera and Javier Pastor-Galindo and José A. Ruipérez-Valiente},
journal= {arXiv preprint arXiv:2605.28725},
year = {2026}
}