Untangling the antecedents of initial trust in Web-based health information: The roles of argument quality, source expertise, and user perceptions of information quality and risk

• Published in: Decision Support Systems Vol. 55; no. 1; pp. 284 - 295
• Main Authors: Yi, Mun Y., Yoon, Jane J., Davis, Joshua M., Lee, Taesik
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01-04-2013; Elsevier; Elsevier Sequoia S.A
• Subjects: Applied sciences; Argument quality; Biological and medical sciences; Communication channels; Computer science; control theory; systems; Computerized management (medical records, files, hospital management); Computerized, statistical medical data processing and models in biomedicine; Consumer health information; Exact sciences and technology; Health information; Information dissemination; Information quality; Information systems. Data bases; Internet; Mathematical models; Medical sciences; Memory organisation. Data processing; Online trust; Perceptions; Risk; Software; Source expertise; Studies; Trust; Source expertise; Risk; Online trust; Information quality; Argument quality; Health information; Consumption; Argumentation; Quality criterion; Social perception; User centred design; Information retrieval; Ground truth; Modeling; Variance; Quality assurance; Confidence; World wide web; Internet; Service quality; Antecedent; Expertise; Public health
• ISSN: 0167-9236; 1873-5797
• DOI: 10.1016/j.dss.2013.01.029

As the Internet develops as a medium for disseminating health-related information, research on Web-based health information consumption grows increasingly important to academics and practitioners. Building on the current research in this area, our study proposes a model of initial trust formation in Web-based health information, rooted in the elaboration likelihood model (ELM) and Toulmin's model of argumentation. The proposed model theorizes trust as a function of perceived information quality and perceived risk, which are in turn determined by the structural quality of the message (argument quality) and the expertise of the message source (source expertise). Testing of the research model was accomplished via a field experiment involving 300 online users who had searched for health information on the Web. Overall, the results largely support the proposed model, explaining substantial variance in trust and highlighting the important but distinct roles that argument quality, source expertise, and user perceptions of information quality and risk play in determining an individual's decision to trust health information online.
► We propose a model of how trust in online health information is formed. ► Message strength and source expertise were manipulated. ► User perceptions of information quality and risk were examined as mediators. ► The model was found to explain substantial variance in trust. ► Perceived information quality was a central driver of trust in health information.