A conceptual cognitive model for understanding the coexistence of trust and distrust in health information websites

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Health information websites are important sources for users and patients to search, extract, and gauge health information that fits their specific health needs, which is becoming more and more popular. Users' trust and distrust in websites may largely determine which website to access, what information to extract and how to best utilize the information. Previous research mainly focuses on user's trust and treats distrust as the opposite aspect of trust. However, recent research has proved that trust and distrust are two related but distinct aspects, which influence user's intention and behavior simultaneously. The antecedents of distrust and how they influence user's access to health information websites, together with the factor of trust, have nearly remained unclear. In this study, we propose a conceptual cognitive model for understanding antecedents of trust and distrust in health information websites, which provide specific health recommendations and advice, mainly for ailment treatment. The cognitive model integrates previous conceptualizations of Internet deception, attribution theory, trust and distrust. The antecedents of distrust are proposed based upon relevant literature. The proposed research model will be empirically validated by conducting online experiment on users of different health information websites, which correspond to different levels of trust and distrust.
Original languageEnglish
Title of host publicationICIS 2018 Proceedings
PublisherAssociation for Information Systems
ISBN (Print)978-0-9966831-7-3
Publication statusPublished - Dec 2018
Event39th International Conference on Information Systems (ICIS 2018) - San Francisco Marriott Marquis, San Francisco, United States
Duration: 13 Dec 201816 Dec 2018
https://icis2018.aisconferences.org/
https://archives.aisconferences.org/icis2018/

Publication series

NameInternational Conference on Information Systems, ICIS

Conference

Conference39th International Conference on Information Systems (ICIS 2018)
Country/TerritoryUnited States
CitySan Francisco
Period13/12/1816/12/18
Internet address

Research Keywords

  • Antecedents of distrust
  • Health information website
  • Internet deception
  • Trust

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