Content Analysis of Social Tags Generated by Health Consumers

Soohyung Joo, Yunseon Choi

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

1 Scopus citations

Abstract

This poster presents preliminary findings of user tag analysis in the domain of consumer health information. To obtain user terms, 36,205 tags from 38 consumer health information sites were collected from delicious.com. Content analysis was applied to identify the dimensions and types of the collected tags. The preliminary findings showed that user generated tags covers a variety of aspects of health information, ranging from general terms, subject terms, knowledge type, and to audience. General terms and subject terms were observed dominantly by showing 31.7% and 22.8% respectively.

Original languageEnglish
Title of host publicationJCDL 2015 - Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries
Pages249-250
Number of pages2
ISBN (Electronic)9781450335942
DOIs
StatePublished - Jun 21 2015
Event15th ACM/IEEE-CE Joint Conference on Digital Libraries, JCDL 2015 - Knoxville, United States
Duration: Jun 21 2015Jun 25 2015

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume2015-June
ISSN (Print)1552-5996

Conference

Conference15th ACM/IEEE-CE Joint Conference on Digital Libraries, JCDL 2015
Country/TerritoryUnited States
CityKnoxville
Period6/21/156/25/15

Keywords

  • consumer health information
  • qualitative analysis
  • social tagging

ASJC Scopus subject areas

  • Engineering (all)

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