title: Evaluating Health Advice in a Web 2.0 Environment: The Impact of Multiple User-Generated Factors on HIV Advice Perceptions.
abstract: Unlike traditional media, social media systems often present information of different types from different kinds of contributors within a single message pane, a juxtaposition of potential influences that challenges traditional health communication processing. One type of social media system, question-and-answer advice systems, provides peers' answers to health-related questions, which yet other peers read and rate. Responses may appear good or bad, responders may claim expertise, and others' aggregated evaluations of an answer's usefulness may affect readers' judgments. An experiment explored how answer feasibility, expertise claims, and user-generated ratings affected readers' assessments of advice about anonymous HIV testing. Results extend the heuristic-systematic model of persuasion (Chaiken, 1980) and warranting theory (Walther & Parks, 2002). Information that is generally associated with both systematic and heuristic processes influenced readers' evaluations. Moreover, content-level cues affected judgments about message sources unexpectedly. When conflicting cues were present, cues with greater warranting value (consensus user-generated ratings) had greater influence on outcomes than less warranted cues (self-promoted expertise). Findings present a challenge to health professionals' concerns about the reliability of online health information systems.
authors.affiliation: a Wee Kim Wee School of Communication and Information , Nanyang Technological University , Singapore.
authors.forename: Joseph B
authors.initials: JB
authors.lastname: Walther
authors.affiliation: b School of Humanities and Social Sciences , Korea Advanced Institute of Science and Technology , Daejon , South Korea.
authors.forename: Jeong-Woo
authors.initials: JW
authors.lastname: Jang
authors.affiliation: c Department of Communication, The College at Brockport , State University of New York , Brockport , New York , USA.
authors.forename: Ashley A
authors.initials: AA
authors.lastname: Hanna Edwards
mesh_terms: D000328:Adult; D003463:Cues; D000068598:Data Accuracy; D005260:Female; D015658:HIV Infections / Q000517:prevention & control* / Q000523:psychology; D058015:Health Communication / Q000379:methods*; D006801:Humans; D008297:Male; D010465:Perception; D061108:Social Media