Devils, Angels, and Robots: Tempting Destructive Users in Social Media


  • Kyumin Lee Texas A&M University
  • Brian Eoff Texas A&M University
  • James Caverlee Texas A&M University


Social Network Analysis, Social Networking Sites, Microblogs


Social media sites derive their value by providing a popular and dependable community for participants to engage, share, and interact. This community value and related services like search and advertising are threatened by spammers, content polluters, and malware disseminators. In an effort to preserve community value and ensure long-term success, we present a prototype system for automatically detecting and profiling destructive users in social media. We described the architecture of the system - inspired by the "broken windows" theory embraced by law enforcement - the results and insights gained from a preliminary study conducted to determine the efficacy of our approach, and a discussion of our ongoing research.




How to Cite

Lee, K., Eoff, B., & Caverlee, J. (2010). Devils, Angels, and Robots: Tempting Destructive Users in Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 275-278. Retrieved from