Detection and Characterization of Coordinated Online Behavior: A Survey
August 02, 2024 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Detection and Characterization of Coordinated Online Behavior: A Survey"
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Authors
Lorenzo Mannocci, Michele Mazza, Anna Monreale, Maurizio Tesconi, Stefano Cresci
arXiv ID
2408.01257
Category
cs.SI: Social & Info Networks
Cross-listed
cs.AI,
cs.CY,
cs.HC,
cs.LG
Citations
8
Venue
arXiv.org
Last Checked
3 days ago
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.
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