Stop thinking, start tagging: tag semantics emerge from collaborative verbosity
Proceedings of the 19th international conference on World wide web
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
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The reasons why users tag have remained mostly elusive to quantitative investigations. In this paper, we distinguish between two types of motivation for tagging: While categorizers use tags mainly for categorizing resources for later browsing, describers use tags mainly for describing resources for later retrieval. To characterize users with regard to these different motivations, we introduce statistical measures and apply them to 7 different real-world tagging datasets. We show that while most taggers use tags for both categorizing and describing resources, different tagging systems lend themselves to different motivations for tagging. Additionally we show that the distinction between describers and categorizers can improve the performance of tag recommendation.