Combating spam in tagging systems

  • Authors:
  • Georgia Koutrika;Frans Adjie Effendi;Zoltán Gyöngyi;Paul Heymann;Hector Garcia-Molina

  • Affiliations:
  • Stanford University;Stanford University;Stanford University;Stanford University;Stanford University

  • Venue:
  • AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
  • Year:
  • 2007

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Abstract

Tagging systems allow users to interactively annotate a pool of shared resources using descriptive tags. As tagging systems are gaining in popularity, they become more susceptible to tag spam: misleading tags that are generated in order to increase the visibility of some resources or simply to confuse users. We introduce a framework for modeling tagging systems and user tagging behavior. We also describe a method for ranking documents matching a tag based on taggers' reliability. Using our framework, we study the behavior of existing approaches under malicious attacks and the impact of a moderator and our ranking method.