research-article

Enhancing information scent: identifying and recommending quality tags

Authors:

John M. CarrollAuthors Info & Claims

GROUP '09: Proceedings of the 2009 ACM International Conference on Supporting Group Work

Pages 1 - 10

https://doi.org/10.1145/1531674.1531676

Published: 10 May 2009 Publication History

Abstract

We describe a scenario of tag use and an empirical study of tags as socio-cognitive artifacts providing information scent. We articulated a three-step use scenario of tags, and used it to conceptualize tag "quality" as determined by use. We designed and conducted a user study to explore what attributes of tags and taggers predict the user-rated "quality" of tags. We found that frequency best predicted tag quality, while information entropy provided further refinement. We found that people rated our identified quality tags as higher in quality than general tags. But these identified quality tags were not perceived as better than self-generated tags. We derived a regression model for tag quality and discussed implications for social computing.

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Cited By

Allam HBliemel MSpiteri LBlustein JAli-Hassan H(2019)Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging toolsInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2018.11.00545:C(211-222)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2018.11.005
Tong LLin HZhang P(2019)“I don't understand it so it can't be good”: Users' acg domain expertise and perceived quality of video tagsProceedings of the Association for Information Science and Technology10.1002/pra2.17456:1(780-782)Online publication date: 18-Oct-2019
https://doi.org/10.1002/pra2.174
Suh HOh JYoon W(2016)Which Tags Do We Remember in Personal Information Management?International Journal of Human-Computer Interaction10.1080/10447318.2016.118129132:7(568-583)Online publication date: 2-May-2016
https://doi.org/10.1080/10447318.2016.1181291
Show More Cited By

Index Terms

Enhancing information scent: identifying and recommending quality tags
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

GROUP '09: Proceedings of the 2009 ACM International Conference on Supporting Group Work

May 2009

412 pages

ISBN:9781605585000

DOI:10.1145/1531674

General Chairs:
Stephanie Teasley
University of Michigan, USA
,
Erling Havn
Technical University of Denmark, Denmark
,
Program Chairs:
Wolfgang Prinz
Fraunhofer FIT, Germany
,
Wayne Lutters
University of Maryland, Baltimore County, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 May 2009

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GROUP09: ACM 2009 International Conference on Supporting Group Work

May 10 - 13, 2009

Florida, Sanibel Island, USA

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GROUP '09 Paper Acceptance Rate 40 of 110 submissions, 36%;

Overall Acceptance Rate 125 of 405 submissions, 31%

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Cited By

Allam HBliemel MSpiteri LBlustein JAli-Hassan H(2019)Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging toolsInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2018.11.00545:C(211-222)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2018.11.005
Tong LLin HZhang P(2019)“I don't understand it so it can't be good”: Users' acg domain expertise and perceived quality of video tagsProceedings of the Association for Information Science and Technology10.1002/pra2.17456:1(780-782)Online publication date: 18-Oct-2019
https://doi.org/10.1002/pra2.174
Suh HOh JYoon W(2016)Which Tags Do We Remember in Personal Information Management?International Journal of Human-Computer Interaction10.1080/10447318.2016.118129132:7(568-583)Online publication date: 2-May-2016
https://doi.org/10.1080/10447318.2016.1181291
Li LZhang CChung CBroder AShim KSuel T(2014)Quality evaluation of social tags according to web resource typesProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2578998(1123-1128)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2567948.2578998
Cress UHeld C(2012)Harnessing collective knowledge inherent in tag cloudsJournal of Computer Assisted Learning10.1111/j.1365-2729.2012.00491.x29:3(235-247)Online publication date: 23-Aug-2012
https://doi.org/10.1111/j.1365-2729.2012.00491.x
Allam HBlustein JBliemel MSpiteri L(2012)Exploring Factors Impacting Users' Attitude and Intention towards Social Tagging SystemsProceedings of the 2012 45th Hawaii International Conference on System Sciences10.1109/HICSS.2012.267(3129-3138)Online publication date: 4-Jan-2012
https://dl.acm.org/doi/10.1109/HICSS.2012.267
Sawant NLi JWang J(2011)Automatic image semantic interpretation using social action and tagging dataMultimedia Tools and Applications10.1007/s11042-010-0650-851:1(213-246)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1007/s11042-010-0650-8

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