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Semantic stability in social tagging streams
[Konferenzbeitrag]
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... mehr
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 of social tagging systems with distinct domains and properties and (iii) detecting potential causes for semantic stabilization, specifically imitation behavior, shared background knowledge and intrinsic properties of natural language. Our results show that tagging streams which are generated by a combination of imitation dynamics and shared background knowledge exhibit faster and higher semantic stability than tagging streams which are generated via imitation dynamics or natural language phenomena alone.... weniger
Thesaurusschlagwörter
Semantik; Soziale Medien; Methodenvergleich; Methodologie; Twitter; Ranking; Messung; Simulation; Methodenforschung; Netzgemeinschaft
Klassifikation
interaktive, elektronische Medien
Naturwissenschaften, Technik(wissenschaften), angewandte Wissenschaften
Freie Schlagwörter
social tagging; emergent semantics; social semantics; distributional semantics; stabilization process; Stable Tag Proportions; Stable Tag Distributions; Power Law Fits
Titel Sammelwerk, Herausgeber- oder Konferenzband
Proceedings of the 23rd International Conference on World Wide Web 2014
Konferenz
23. International Conference on World Wide Web (WWW'14). Seoul, 2014
Sprache Dokument
Englisch
Publikationsjahr
2014
Verlag
ACM
Erscheinungsort
New York
Seitenangabe
S. 735-746
ISBN
978-1-4503-2744-2
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung