Persistent Link:
http://hdl.handle.net/10150/105988
Title:
@toread and Cool: Tagging for Time, Task and Emotion
Author:
Kipp, Margaret E. I.
Citation:
@toread and Cool: Tagging for Time, Task and Emotion 2006,
Issue Date:
2006
URI:
http://hdl.handle.net/10150/105988
Submitted date:
2006-11-11
Abstract:
Social Classification or tagging is increasingly a subject of interest in library and information science (and related fields) as social bookmarking tools such as del.icio.us have become increasingly popular. Simple visualisations such as sorting tags by frequency or displaying tag clouds in which tag size denotes popularity suggest that tagging systems form interesting new taxonomies or folksonomies of related terms. This study examines these tagging systems seeking elements of convergence and divergence with traditional cataloguing and classification theory and practice. This study examines the use of unusual tags which do not fit the mould of traditional cataloguing and classification, namely, that they are not subject related. These tags include two major categories: affective (emotional) tags, time and task related tags. Examples of affective tags include interesting, fun and cool. Examples of time and task related tags include @toread, todo, and tobuy. Data has been collected from del.icio.us, citeulike and connotea via python scripts designed to gather information on specific tags or URLs. The data used for this study is part of a larger study by Kipp and Campbell (2006) examining patterns in tagging. Analysis of this data showed approximately 16% of tags were time and task related. Time and task or affective tags were located in multidimensional scaling graphs of cotag (coword) data. (Kipp and Campbell 2006) Many users of del.icio.us, citeulike and connotea appear to want to store more than just the subject of the documents they are bookmarking. Tags such as @toread, tobuy, todo, fun and cool suggest that users see their relationship to these documents in different ways. While the latter tags express an emotional connection to the document, the former show evidence of a desire to attach personal information management information to documents. This desire to combine personal information management and document classification echoes findings in document use research at Xerox in which users categorised items in order to better understand their relationship to other items and to tasks the users wished to perform. (Sellen and Harper 2002) A large part of library science research is involved in the examination of how users seek and use information. Another important aspect of this is how they relate to information. (Bates 1998, 1048) Findings from this study suggest that users relate information to time related tasks, activities and their own emotional reactions. This poster was presented at 17th Annual SIG/CR Classification Research Workshop part of the Annual Meeting of the American Society for Information Science and Technology (ASIST), November 4, 2006, Austin, Texas
Type:
Conference Poster
Language:
en
Keywords:
Classification; Information Architecture
Local subject classification:
Tagging; Tags; Non-subject; SIGCR2006; SIGCR; Affective; Task

Full metadata record

DC FieldValue Language
dc.contributor.authorKipp, Margaret E. I.en_US
dc.date.accessioned2006-11-11T00:00:01Z-
dc.date.available2010-06-18T23:37:48Z-
dc.date.issued2006en_US
dc.date.submitted2006-11-11en_US
dc.identifier.citation@toread and Cool: Tagging for Time, Task and Emotion 2006,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105988-
dc.description.abstractSocial Classification or tagging is increasingly a subject of interest in library and information science (and related fields) as social bookmarking tools such as del.icio.us have become increasingly popular. Simple visualisations such as sorting tags by frequency or displaying tag clouds in which tag size denotes popularity suggest that tagging systems form interesting new taxonomies or folksonomies of related terms. This study examines these tagging systems seeking elements of convergence and divergence with traditional cataloguing and classification theory and practice. This study examines the use of unusual tags which do not fit the mould of traditional cataloguing and classification, namely, that they are not subject related. These tags include two major categories: affective (emotional) tags, time and task related tags. Examples of affective tags include interesting, fun and cool. Examples of time and task related tags include @toread, todo, and tobuy. Data has been collected from del.icio.us, citeulike and connotea via python scripts designed to gather information on specific tags or URLs. The data used for this study is part of a larger study by Kipp and Campbell (2006) examining patterns in tagging. Analysis of this data showed approximately 16% of tags were time and task related. Time and task or affective tags were located in multidimensional scaling graphs of cotag (coword) data. (Kipp and Campbell 2006) Many users of del.icio.us, citeulike and connotea appear to want to store more than just the subject of the documents they are bookmarking. Tags such as @toread, tobuy, todo, fun and cool suggest that users see their relationship to these documents in different ways. While the latter tags express an emotional connection to the document, the former show evidence of a desire to attach personal information management information to documents. This desire to combine personal information management and document classification echoes findings in document use research at Xerox in which users categorised items in order to better understand their relationship to other items and to tasks the users wished to perform. (Sellen and Harper 2002) A large part of library science research is involved in the examination of how users seek and use information. Another important aspect of this is how they relate to information. (Bates 1998, 1048) Findings from this study suggest that users relate information to time related tasks, activities and their own emotional reactions. This poster was presented at 17th Annual SIG/CR Classification Research Workshop part of the Annual Meeting of the American Society for Information Science and Technology (ASIST), November 4, 2006, Austin, Texasen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectClassificationen_US
dc.subjectInformation Architectureen_US
dc.subject.otherTaggingen_US
dc.subject.otherTagsen_US
dc.subject.otherNon-subjecten_US
dc.subject.otherSIGCR2006en_US
dc.subject.otherSIGCRen_US
dc.subject.otherAffectiveen_US
dc.subject.otherTasken_US
dc.title@toread and Cool: Tagging for Time, Task and Emotionen_US
dc.typeConference Posteren_US
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