skip to main content
10.1145/1979742.1979520acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
abstract

How user reviews influence older and younger adults' credibility judgments of online health information

Published:07 May 2011Publication History

ABSTRACT

A laboratory study was conducted to explore whether user reviews, a common Web 2.0 feature on healthcare website, would have differential influence on younger and older adults' judgment of information credibility. We found that when credibility cues in user reviews were consistent with those in Website contents, older adults benefited more from this supplementary information than younger adults, which allowed older adults to make better credibility judgments. When credibility cues in user reviews were inconsistent with those in Website contents, older adults were less influenced by the user reviews. Results have important implications on how user reviews may facilitate credibility judgment of online health information by older adults.

References

  1. Dutton, W.H. and A. Shepherd, Trust in the Internet as an experience technology. Information, Communication & Society 9, 4 (2006), 433 -- 451.Google ScholarGoogle ScholarCross RefCross Ref
  2. Eysenbach, G. Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness. In Proc. Medicine 2.0 2008.Google ScholarGoogle Scholar
  3. Fogg, B.J., et al. What makes Web sites credible?: a report on a large quantitative study. In Proc. CHI2001. ACM Press(2001), 61--68. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gefen, D. and D.W. Straub, Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services 32, 6 (2004), 407--424.Google ScholarGoogle Scholar
  5. Hamilton, M.A., Message Variables That Mediate and Moderate the Effect of Equivocal Language on Source Credibility. Journal of Language and Social Psychology 17,1 (1998), 109--143.Google ScholarGoogle Scholar
  6. Hong, T., The influence of structural and message features on Web site credibility. Journal of the American Society for Information Science and Technology 57, 1 (2006), 114--127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Liao, Q.V. Effects of cognitive aging on credibility assessment of online health information. Ext. Abstract CHI2010. ACM Press(2010), 4321--4326 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Lynn W.Phillips, B.S., Age Differences in Information Processing: A Perspective on the Aged Consumer. Journal of Marketing Research Journal of Marketing Research 14, (1977), 444--457.Google ScholarGoogle ScholarCross RefCross Ref
  9. Man Yee Cheung, C.L., Choon, Ling Sia, and Huaping Chen, Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce 13, 4 (2009), 9--38. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Petty, R.E., Cacioppo, J.T, The Elaboration Likelihood Model. Advances in Experimental Social Psychology Advances in Experimental Social Psychology 19, (1986), 123--205 .Google ScholarGoogle ScholarCross RefCross Ref
  11. Sydney Jones, S.F., Generations Online in 2009, Pew Internet & American Life Project. 200Google ScholarGoogle Scholar

Index Terms

  1. How user reviews influence older and younger adults' credibility judgments of online health information

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems
        May 2011
        2554 pages
        ISBN:9781450302685
        DOI:10.1145/1979742

        Copyright © 2011 Author

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 May 2011

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • abstract

        Acceptance Rates

        Overall Acceptance Rate6,164of23,696submissions,26%
      • Article Metrics

        • Downloads (Last 12 months)10
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader