Semantic stability in social tagging streams

Abstract: One potential disadvantage of social tagging systems is that due to the lack of a centralized vocabulary, a crowd of users may never manage to reach a consensus on the description of resources (e.g., books, users or songs) on the Web. Yet, previous research has provided interesting evidence that the tag distributions of resources may become semantically stable over time as more and more users tag them. At the same time, previous work has raised an array of new questions such as: (i) How can we assess the semantic stability of social tagging systems in a robust and methodical way? (ii) Does semantic stabilization of tags vary across different social tagging systems and ultimately, (iii) what are the factors that can explain semantic stabilization in such systems? In this work we tackle these questions by (i) presenting a novel and robust method which overcomes a number of limitations in existing methods, (ii) empirically investigating semantic stabilization processes in a wide range

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource, 735-746 S.
• Language: Englisch
• Notes: Veröffentlichungsversion ; begutachtet (peer reviewed) ; In: Proceedings of the 23rd International Conference on World Wide Web 2014. 2014. S. 735-746. ISBN 978-1-4503-2744-2

Contributors, Places and Time

• Event: Veröffentlichung
• (where): New York
• (who): ACM
• (when): 2014
• Event: Veröffentlichung
• (where): Mannheim
• (who): SSOAR - Social Science Open Access Repository
• (when): 2014
• Creator: Wagner, Claudia ; Singer, Philipp ; Strohmaier, Markus ; Huberman, Bernardo A.

Further information

• URN: urn:nbn:de:0168-ssoar-66081-7
• Rights: Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:20 AM CEST