research-article

The impact of resource title on tags in collaborative tagging systems

Authors:

Evangelos MiliosAuthors Info & Claims

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

Pages 179 - 188

https://doi.org/10.1145/1810617.1810648

Published: 13 June 2010 Publication History

Abstract

Collaborative tagging systems are popular tools for organization, sharing and retrieval of web resources. Their success is due to their freedom and simplicity of use. To post a resource, the user should only define a set of tags that would position the resource in the system's data structure -- folksonomy. This data structure can serve as a rich source of information about relations between tags and concepts they represent. To make use of information collaboratively added to folksonomies, we need to understand how users make tagging decisions. Three factors that are believed to influence user tagging decisions are: the tags used by other users, the organization of user's personal repository and the knowledge model shared between users. In our work we examine the role of another potential factor -- resource title. Despite all the advantages of tags, tagging is a tedious process. To minimize the effort, users are likely to tag with keywords that are easily available. We show that resource title, as a source of useful tags, is easy to access and comprehend. Given a choice of two tags with the same meaning, users are likely to be influenced by their presence in the title. However, a factor that seems to have stronger impact on users' tagging decisions is maintaining the consistency of the personal profile of tags. The results of our study reveal a new, less idealistic picture of collaborative tagging systems, in which the collaborative aspect seems to be less important than personal gains and convenience.

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Cited By

Dong HWang WHuang KCoenen F(2021)Automated Social Text Annotation With Joint Multilabel Attention NetworksIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2020.300279832:5(2224-2238)Online publication date: May-2021
https://doi.org/10.1109/TNNLS.2020.3002798
Navarro Bullock BHotho AStumme G(2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_9
Godoy DCorbellini A(2016)Folksonomy-Based Recommender SystemsInternational Journal of Intelligent Systems10.1002/int.2175331:4(314-346)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1002/int.21753
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Index Terms

The impact of resource title on tags in collaborative tagging systems
1. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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cover image ACM Conferences

HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia

June 2010

328 pages

ISBN:9781450300414

DOI:10.1145/1810617

General Chair:
Mark Chignell
University of Toronto
,
Program Chair:
Elaine Toms
Dalhousie University

Copyright © 2010 ACM.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

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Publication History

Published: 13 June 2010

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SIGWEB

HT '10: 21st ACM Conference on Hypertext and Hypermedia

June 13 - 16, 2010

Ontario, Toronto, Canada

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Dong HWang WHuang KCoenen F(2021)Automated Social Text Annotation With Joint Multilabel Attention NetworksIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2020.300279832:5(2224-2238)Online publication date: May-2021
https://doi.org/10.1109/TNNLS.2020.3002798
Navarro Bullock BHotho AStumme G(2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_9
Godoy DCorbellini A(2016)Folksonomy-Based Recommender SystemsInternational Journal of Intelligent Systems10.1002/int.2175331:4(314-346)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1002/int.21753
Vairavasundaram SVaradharajan VVairavasundaram IRavi L(2015)Data mining-based tag recommendation systemWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery10.1002/widm.11495:3(87-112)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1002/widm.1149
Kowald DKopeinik SSeitlinger PLey TAlbert DTrattner C(2014)Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic ContextMining, Modeling, and Recommending 'Things' in Social Media10.1007/978-3-319-14723-9_4(55-74)Online publication date: 25-Dec-2014
https://doi.org/10.1007/978-3-319-14723-9_4
Razikin KGoh DLee C(2013)A User-centric Approach towards Understanding the Influences of Social Tags Choices for Academic PapersProceedings of the 2013 10th International Conference on Information Technology: New Generations10.1109/ITNG.2013.103(665-670)Online publication date: 15-Apr-2013
https://dl.acm.org/doi/10.1109/ITNG.2013.103
Figueiredo FPinto HBeléM FAlmeida JGonçAlves MFernandes DMoura E(2013)Assessing the quality of textual features in social mediaInformation Processing and Management: an International Journal10.1016/j.ipm.2012.03.00349:1(222-247)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1016/j.ipm.2012.03.003
Belém FMartins EAlmeida JGonçalves M(2013)Exploiting Novelty and Diversity in Tag RecommendationAdvances in Information Retrieval10.1007/978-3-642-36973-5_32(380-391)Online publication date: 2013
https://doi.org/10.1007/978-3-642-36973-5_32
Elhussein MNakata K(2012)Analysing the Factors That Influence Tag Choice Based on Semiotic Analysis and Activity TheoryProceedings of the 2012 International Conference on Social Informatics10.1109/SocialInformatics.2012.78(96-105)Online publication date: 14-Dec-2012
https://dl.acm.org/doi/10.1109/SocialInformatics.2012.78
Hu JWang BLiu YLi D(2012)Personalized Tag Recommendation Using Social InfluenceJournal of Computer Science and Technology10.1007/s11390-012-1241-027:3(527-540)Online publication date: 19-May-2012
https://doi.org/10.1007/s11390-012-1241-0
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