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Prominence-interpretation theory: explaining how people assess credibility online

Published: 05 April 2003 Publication 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.
[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.
[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.
[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.
[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.
[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.

Cited By

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  • (2024)Discovering why people believe disinformation about healthcarePLOS ONE10.1371/journal.pone.030049719:3(e0300497)Online publication date: 21-Mar-2024
  • (2024)The Role of Content Labeling and Discrete Emotions in User Participation in a COVID-19 U.S. Reddit CommunityJournalism & Mass Communication Quarterly10.1177/10776990241257588Online publication date: 24-Jul-2024
  • (2024)Factors Associated With Information Credibility Perceptions: A Meta-AnalysisJournalism & Mass Communication Quarterly10.1177/10776990231222556101:2(346-372)Online publication date: 5-Feb-2024
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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 April 2003

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Author Tags

  1. e-commerce
  2. e-learning and education
  3. health care
  4. interaction design
  5. theory
  6. user and cognitive models
  7. world wide web and hypermedia

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CHI03
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CHI03: Human Factors in Computing Systems
April 5 - 10, 2003
Florida, Ft. Lauderdale, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2024)Discovering why people believe disinformation about healthcarePLOS ONE10.1371/journal.pone.030049719:3(e0300497)Online publication date: 21-Mar-2024
  • (2024)The Role of Content Labeling and Discrete Emotions in User Participation in a COVID-19 U.S. Reddit CommunityJournalism & Mass Communication Quarterly10.1177/10776990241257588Online publication date: 24-Jul-2024
  • (2024)Factors Associated With Information Credibility Perceptions: A Meta-AnalysisJournalism & Mass Communication Quarterly10.1177/10776990231222556101:2(346-372)Online publication date: 5-Feb-2024
  • (2024)The impact of socio-demographic factors on web credibility assessmentIFLA Journal10.1177/03400352241270701Online publication date: 12-Sep-2024
  • (2024)Lifting the lid on manipulative website contents: A framework mapping contextual and informational feature combinations against associated social cognitive vulnerabilitiesSocial and Personality Psychology Compass10.1111/spc3.1294718:2Online publication date: 15-Feb-2024
  • (2024)Designing for Trust: How Online News Consumers View and Interpret Informational Transparency BoxesDigital Journalism10.1080/21670811.2024.2346749(1-22)Online publication date: 19-Jul-2024
  • (2024)Examining adolescents’ systematic and heuristic credibility evaluation strategies of online newsInformation, Communication & Society10.1080/1369118X.2024.2340991(1-17)Online publication date: 15-Apr-2024
  • (2024)High level of self-disclosure on SNSs facilitates cooperationComputers in Human Behavior10.1016/j.chb.2023.107976150:COnline publication date: 1-Jan-2024
  • (2024)Students' credibility criteria for evaluating scientific information: The case of climate change on social mediaScience Education10.1002/sce.21855108:3(762-791)Online publication date: 19-Jan-2024
  • (2023)Political news on Instagram: influencer versus traditional magazine and the role of their expertise in consumers’ credibility perceptions and news engagementFrontiers in Psychology10.3389/fpsyg.2023.125799414Online publication date: 6-Dec-2023
  • Show More Cited By

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