Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Processing and Management: an International Journal
Do online reviews matter? - An empirical investigation of panel data
Decision Support Systems
International Journal of Electronic Commerce
Making sense of strangers' expertise from signals in digital artifacts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Authority vs. peer: how interface cues influence users
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Social influence and the diffusion of user-created content
Proceedings of the 10th ACM conference on Electronic commerce
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Rate My Expectations: How online evaluations of professors impact students' perceived control
Computers in Human Behavior
Consumers rule: How consumer reviews influence perceived trustworthiness of online stores
Electronic Commerce Research and Applications
The Ironic Effect of Source Identificationon the Perceived Credibility of Online Product Reviewers
Journal of Computer-Mediated Communication
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The warranting principle, signaling theory, and theories of informational social influence suggest conditions when either user-generated information, or information originating from traditional experts, might be privileged online. A random sample of 1207 U.S.-based adults with Internet access completed an experiment that manipulated the source, volume, and valence of online movie ratings in order to test predictions derived from these perspectives. Results indicated that ratings volume is positively associated with trust of, reliance on, and confidence in user-generated content, as well as the congruence between one's own and others' opinions; that ratings source and volume interact to impact credibility perceptions, reliance on user-generated information, and opinion congruence, such that people tend to favor experts when there is low information volume, but favor user-generated information under conditions of high information volume; and that people's opinions and behavioral intentions converge with the online ratings information to which they are exposed. In addition, these effects apply more strongly to people more conversant with user-generated content. Results indicate important theoretical extensions by demonstrating that social information online may be filtered through signals indicating its veracity, which may not apply equally to all social media users.