@article{glushko2008categorization,
  abstract = {In studying categorization, cognitive science has focused primarily on cultural categorization, ignoring individual and institutional categorization. Because recent technological developments have made individual and institutional classification systems much more available and powerful, our understanding of the cognitive and social mechanisms that produce these systems is increasingly important. Furthermore, key aspects of categorization that have received little previous attention emerge from considering diverse types of categorization together, such as the social factors that create stability in classification systems, and the interoperability that shared conceptual systems establish between agents. Finally, the profound impact of recent technological developments on classification systems indicates that basic categorization mechanisms are highly adaptive, producing new classification systems as the situations in which they operate change. },
  author = {Glushko, Robert J. and Maglio, Paul P. and Matlock, Teenie and Barsalou, Lawrence W.},
  doi = {http://dx.doi.org/10.1016/j.tics.2008.01.007},
  interhash = {f21366054d9e9524e0f90a17e59aca97},
  intrahash = {09d23ef22bc50a6c21735e5332f1ecdb},
  issn = {1364-6613},
  journal = {Trends in Cognitive Sciences },
  number = 4,
  pages = {129 - 135},
  title = {Categorization in the wild },
  url = {http://www.sciencedirect.com/science/article/pii/S1364661308000557},
  volume = 12,
  year = 2008
}

@incollection{lorince2015analysis,
  abstract = {In collaborative tagging systems, it is generally assumed that users assign tags to facilitate retrieval of content at a later time. There is, however, little behavioral evidence that tags actually serve this purpose. Using a large-scale dataset from the social music website Last.fm, we explore how patterns of music tagging and subsequent listening interact to determine if there exist measurable signals of tags functioning as retrieval aids. Specifically, we describe our methods for testing if the assignment of a tag tends to lead to an increase in listening behavior. Results suggest that tagging, on average, leads to only very small increases in listening rates, and overall the data do },
  author = {Lorince, Jared and Joseph, Kenneth and Todd, PeterM.},
  booktitle = {Social Computing, Behavioral-Cultural Modeling, and Prediction},
  doi = {10.1007/978-3-319-16268-3_15},
  editor = {Agarwal, Nitin and Xu, Kevin and Osgood, Nathaniel},
  interhash = {b6f817ca50d1c44886c9ed58facbf592},
  intrahash = {1485f6521c6ae2db520d1a7c3c429f07},
  isbn = {978-3-319-16267-6},
  language = {English},
  pages = {141-152},
  publisher = {Springer International Publishing},
  series = {Lecture Notes in Computer Science},
  title = {Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?},
  url = {http://dx.doi.org/10.1007/978-3-319-16268-3_15},
  volume = 9021,
  year = 2015
}

@inproceedings{millen2006using,
  abstract = {Abstract. In this paper, we explore the increasingly popular social bookmarking services. These services powerfully combine personal tagging of information sources with interactive browsing, which allows for improved social navigation. We examine the use of a social bookmarking service, deployed in a large organization, to understand how social navigation is supported. We conclude that social tags used in the context of a social bookmarking service are an important way to improve social navigation. 1},
  author = {Millen, David R and Feinberg, Jonathan},
  booktitle = {Workshop on the Social Navigation and Community based Adaptation Technologies},
  interhash = {069728b6085691980f69bc85695e918b},
  intrahash = {849324dbcd99492896dc2f7386f6b7d9},
  title = {Using Social Tagging to Improve Social Navigation},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.5563},
  year = 2006
}

@article{golder2006usage,
  abstract = {Collaborative tagging describes the process by which many users add metadata in the                 form of keywords to shared content. Recently, collaborative tagging has grown in                 popularity on the web, on sites that allow users to tag bookmarks, photographs and                 other content. In this paper we analyze the structure of collaborative tagging                 systems as well as their dynamic aspects. Specifically, we discovered regularities                 in user activity, tag frequencies, kinds of tags used, bursts of popularity in                 bookmarking and a remarkable stability in the relative proportions of tags within a                 given URL. We also present a dynamic model of collaborative tagging that predicts                 these stable patterns and relates them to imitation and shared knowledge.},
  author = {Golder, Scott A. and Huberman, Bernardo A.},
  doi = {10.1177/0165551506062337},
  eprint = {http://jis.sagepub.com/content/32/2/198.full.pdf+html},
  interhash = {df675e16fcba9cd0f6afc5c9f2a8a723},
  intrahash = {f67d3599f5282425b8e0e5b383d436a0},
  journal = {Journal of Information Science},
  number = 2,
  pages = {198-208},
  title = {Usage patterns of collaborative tagging systems},
  url = {http://jis.sagepub.com/content/32/2/198.abstract},
  volume = 32,
  year = 2006
}