Bots and coordinated inauthentic behavior (CIB) refer to networks of automated or semi-automated accounts—operated by state actors, political campaigns, commercial entities, or individuals—working together to amplify content, manipulate algorithmic ranking, inflate engagement metrics, or spread disinformation and propaganda. These systems range from simple scripted bots executing repetitive tasks to sophisticated multi-agent systems coordinating narratives across platforms.
The detection of coordinated behavior has become a critical research area, as coordination can amplify marginal content through repetition and create an illusion of grassroots support. Modern AI-driven swarms introduce new challenges: heterogeneous messaging, adaptive behavior, and human-level mimicry that can evade traditional bot-detection methods.
Key papers
- 2026-schroeder-malicious-ai-swarms — describes how multi-agent AI systems create coordinated swarms with capabilities including decentralized coordination, network infiltration, human-level mimicry, self-optimization, and persistent presence; analyzes detection evasion and proposes monitoring strategies
- 2020-giglietto-coordinated-inauthentic-behavior — empirical evidence that coordinated networks amplify problematic (false/misleading) content 1.79–2.22× more frequently than uncoordinated actors
- 2018-stella-bots-catalan — demonstrates bot-driven amplification of inflammatory misinformation; shows bots reinforce group-specific narratives and intensify human-to-human misinformation spread
- 2020-linvill-troll-factories — analysis of Russian Internet Research Agency operations; identifies five account types targeting U.S. political discourse with coordinated behavioral responses
Related topics
- influence-operations (primary application)
- propaganda (content distributed)
- social-media (primary venue)
- detection-methods (technical defenses)
- misinformation (often the content amplified)