Social tags: Meaning and suggestions

Fabian M. Suchanek, Milan Vojnović, Dinan Gunawardena

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper aims to quantify two common assumptions about social tagging: (1) that tags are "meaningful" and (2) that the tagging process is influenced by tag suggestions. For (1), we analyze the semantic properties of tags and the re-lationship between the tags and the content of the tagged page. Our analysis is based on a corpus of search keywords, contents, titles, and tags applied to several thousand popu-lar Web pages. Among other results, we find that the more popular tags of a page tend to be the more meaningful ones. For (2), we develop a model of how the influence of tag sug-gestions can be measured. From a user study with over 4,000 participants, we conclude that roughly one third of the tag applications may be induced by the suggestions. Our results would be of interest for designers of social tagging systems and are a step towards understanding how to best leverage social tags for applications such as search and information extraction.

Original languageEnglish
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages223-232
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: 26 Oct 200830 Oct 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference17th ACM Conference on Information and Knowledge Management, CIKM'08
Country/TerritoryUnited States
CityNapa Valley, CA
Period26/10/0830/10/08

Keywords

  • Search
  • Social tagging

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