Usage patterns of collaborative tagging systems
Journal of Information Science
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
An epistemic dynamic model for tagging systems
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Logsonomy - social information retrieval with logdata
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Influences on tag choices in del.icio.us
Proceedings of the 2008 ACM conference on Computer supported cooperative work
The role of tag suggestions in folksonomies
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Telling experts from spammers: expertise ranking in folksonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Evidence of quality of textual features on the web 2.0
Proceedings of the 18th ACM conference on Information and knowledge management
I tag, you tag: translating tags for advanced user models
Proceedings of the third ACM international conference on Web search and data mining
Learning in efficient tag recommendation
Proceedings of the fourth ACM conference on Recommender systems
Content redundancy in YouTube and its application to video tagging
ACM Transactions on Information Systems (TOIS)
Tags vs shelves: from social tagging to social classification
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Efficient Tag Recommendation for Real-Life Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Personalized topic-based tag recommendation
Neurocomputing
Uses of explicit and implicit tags in social bookmarking
Journal of the American Society for Information Science and Technology
Assessing the quality of textual features in social media
Information Processing and Management: an International Journal
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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.