Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices

Persistent Link:
http://hdl.handle.net/10150/105181
Title:
Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices
Author:
Kipp, Margaret E. I.; Campbell, D. Grant
Citation:
Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices 2006,
Issue Date:
2006
URI:
http://hdl.handle.net/10150/105181
Submitted date:
2007-01-02
Abstract:
This paper analyzes the tagging patterns exhibited by users of del.icio.us, to assess how collaborative tagging supports and enhances traditional ways of classifying and indexing documents. Using frequency data and co-word analysis matrices analyzed by multi-dimensional scaling, the authors discovered that tagging practices to some extent work in ways that are continuous with conventional indexing. Small numbers of tags tend to emerge by unspoken consensus, and inconsistencies follow several predictable patterns that can easily be anticipated. However, the tags also indicated intriguing practices relating to time and task which suggest the presence of an extra dimension in classification and organization, a dimension which conventional systems are unable to facilitate.
Type:
Conference Paper
Language:
en
Keywords:
Classification; Informetrics
Local subject classification:
information organisation; tagging; tags; informetrics

Full metadata record

DC FieldValue Language
dc.contributor.authorKipp, Margaret E. I.en_US
dc.contributor.authorCampbell, D. Granten_US
dc.date.accessioned2007-01-02T00:00:01Z-
dc.date.available2010-06-18T23:20:47Z-
dc.date.issued2006en_US
dc.date.submitted2007-01-02en_US
dc.identifier.citationPatterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices 2006,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105181-
dc.description.abstractThis paper analyzes the tagging patterns exhibited by users of del.icio.us, to assess how collaborative tagging supports and enhances traditional ways of classifying and indexing documents. Using frequency data and co-word analysis matrices analyzed by multi-dimensional scaling, the authors discovered that tagging practices to some extent work in ways that are continuous with conventional indexing. Small numbers of tags tend to emerge by unspoken consensus, and inconsistencies follow several predictable patterns that can easily be anticipated. However, the tags also indicated intriguing practices relating to time and task which suggest the presence of an extra dimension in classification and organization, a dimension which conventional systems are unable to facilitate.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectClassificationen_US
dc.subjectInformetricsen_US
dc.subject.otherinformation organisationen_US
dc.subject.othertaggingen_US
dc.subject.othertagsen_US
dc.subject.otherinformetricsen_US
dc.titlePatterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practicesen_US
dc.typeConference Paperen_US
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