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Prominence-interpretation theory: explaining how people assess credibility online

Published:05 April 2003Publication History

ABSTRACT

Four years of research has led to a theory that describes how people assess the credibility of Web sites. This theory proposes that users notice and interpret various Web site elements to arrive at an overall credibility assessment. Although preliminary, this theory explains previous research results and suggests directions for future studies.

References

  1. A bibliography of research relating to online credibility is available at http://credibility.stanford.edu/credlit.html.Google ScholarGoogle Scholar
  2. Fogg, B.J., Soohoo, C., Danielsen, D., Marable, L., Stanford, J., & Tauber, E. (2002). How Do People Evaluate a Web Site's Credibility? Results from a Large Study. Published by Consumer WebWatch. Available at http://credibility.stanford.edu/mostcredible.html.Google ScholarGoogle Scholar
  3. Kim, N. (1999). World Wide Web Credibility: What Effects do Advertisements and Typos Have on the Perceived Credibility of Web Page Information? Senior Honors Thesis. Stanford University.Google ScholarGoogle Scholar
  4. Petty, R.E. & Cacioppo, J.T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed) Advances in Experimental Social Psychology, 19, New York: Academic Press, 123--205.Google ScholarGoogle Scholar
  5. Princeton Survey Research Associates (2002). A Matter of Trust: What Users Want From Web Sites. Results of a National Survey of Internet Users for Consumer WebWatch. Available at http://www.consumerwebwatch.org/news/ report1.pdf.Google ScholarGoogle Scholar
  6. Stanford, J., Tauber, E., Fogg, B.J., Marable, L. (2002). Expert vs. Online Consumers: A Comparative Credibility Study of Health and Finance Web Sites. Available at http://www.consumerwebwatch.org/ news/report3_credibilityresearch/slicedbread_abstract.htm.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    CHI EA '03: CHI '03 Extended Abstracts on Human Factors in Computing Systems
    April 2003
    471 pages
    ISBN:1581136374
    DOI:10.1145/765891

    Copyright © 2003 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 5 April 2003

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