English

Detection and Characterization of Coordinated Online Behavior: A Survey

Social and Information Networks 2026-04-13 v2 Artificial Intelligence Computers and Society Human-Computer Interaction Machine Learning

Abstract

Coordination is a fundamental aspect of life. The advent of social media has made it integral also to online human interactions, such as those that characterize thriving online communities and social movements. At the same time, coordination is also core to effective disinformation, manipulation, and hate campaigns. This survey collects, categorizes, and critically discusses the body of work produced as a result of the growing interest on coordinated online behavior. We reconcile industry and academic definitions, propose a comprehensive framework to study coordinated online behavior, and review and critically discuss the existing detection and characterization methods. Our analysis identifies open challenges and promising directions of research, serving as a guide for scholars, practitioners, and policymakers in understanding and addressing the complexities inherent to online coordination.

Keywords

Cite

@article{arxiv.2408.01257,
  title  = {Detection and Characterization of Coordinated Online Behavior: A Survey},
  author = {Lorenzo Mannocci and Michele Mazza and Anna Monreale and Maurizio Tesconi and Stefano Cresci},
  journal= {arXiv preprint arXiv:2408.01257},
  year   = {2026}
}