Evaluating the Wisdom of Strangers: The Perceived Credibility of Online Consumer Reviews on Yelp

This study examined the effects of review valence, the reviewer profile, and the receiver's familiarity with the platform (user/nonuser) on the perceived credibility of a review on Yelp.com and on the receiver's attitude toward the reviewed object. The results demonstrated a difference in cue-taking between users and nonusers. For users, there was an interaction effect of 2 profile cues (number of friends and number of reviews) on competence. Users interpreted the cues in combination, whereas non-users were not influenced by them. The friends?×?reviews?×?platform familiarity interaction indirectly affected attitude through competence. Further, review valence was positively associated with perceived credibility and attitude. The findings support and extend the social information processing theory and cue combination literature.

[1]  D. O. Sears,et al.  Does everybody like a liker , 1977 .

[2]  Sidney Rosen,et al.  The Reluctance to Transmit Bad News , 1975 .

[3]  R. Wyer Information redundancy, inconsistency, and novelty and their role in impression formation , 1970 .

[4]  L. A. McArthur The how and what of why: Some determinants and consequences of causal attribution. , 1972 .

[5]  Fritz Heider,et al.  Social perception and phenomenal causality. , 1944 .

[6]  M. Lipe COUNTERFACTUAL REASONING AS A FRAMEWORK FOR ATTRIBUTION THEORIES , 1991 .

[7]  J. Walther Interpersonal Effects in Computer-Mediated Interaction , 1992 .

[8]  R. Mizerski An Attribution Explanation of the Disproportionate Influence of Unfavorable Information , 1982 .

[9]  Malcolm R. Parks,et al.  Cues Filtered Out, Cues Filtered In: Computer-Mediated Communication and Relationships , 2002 .

[10]  Jo Liska,et al.  A critique of factor analytic approaches to the study of credibility , 1976 .

[11]  J. Mccroskey,et al.  Ethos and credibility: The construct and its measurement after three decades , 1981 .

[12]  M. Slater,et al.  How Message Evaluation and Source Attributes May Influence Credibility Assessment and Belief Change , 1996 .

[13]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[14]  Brandon Van Der Heide,et al.  Too Much of a Good Thing? The Relationship Between Number of Friends and Interpersonal Impressions on Facebook , 2008, J. Comput. Mediat. Commun..

[15]  J. Arndt Role of Product-Related Conversations in the Diffusion of a New Product , 1967 .

[16]  Michael Burgoon,et al.  An Empirical Test of a Model of Resistance to Persuasion. , 1978 .

[17]  Berend Wierenga,et al.  Virtual communities: A marketing perspective , 2009, Decis. Support Syst..

[18]  J. Mccroskey,et al.  Goodwill: A reexamination of the construct and its measurement , 1999 .

[19]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[20]  Michael A. Kamins,et al.  Consumer Responses to Rumors: Good News, Bad News , 1997 .

[21]  R. Kozinets E-tribalized Marketing?: The Strategic Implications of Virtual Communities of Consumption , 1999 .

[22]  Sidney Rosen,et al.  Fear of Negative Evaluation and the Reluctance to Transmit Bad News , 1972 .

[23]  Steve Jones,et al.  Whose Space is MySpace? A Content Analysis of MySpace Profiles , 2008, First Monday.

[24]  N. Anderson Integration theory and attitude change. , 1971 .

[25]  B. Hesketh Attribution theory and unemployment: Kelley's covariation model, self-esteem, and locus of control , 1984 .

[26]  S. Ramaswami,et al.  Consumers’ Responses to Negative Word-of-Mouth Communication: An Attribution Theory Perspective , 2001 .

[27]  H. Kelley,et al.  Communication and Persuasion: Psychological Studies of Opinion Change , 1982 .

[28]  Kathy Kellermann The negativity effect and its implications for initial interaction , 1984 .

[29]  Philipp G. Sandner,et al.  Users' Influence on the Success of Online Communities , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[30]  S. Sen,et al.  Why are you telling me this? An examination into negative consumer reviews on the Web , 2007 .

[31]  R. Westbrook Product/Consumption-Based Affective Responses and Postpurchase Processes , 1987 .

[32]  Miriam J. Metzger,et al.  Social and Heuristic Approaches to Credibility Evaluation Online , 2010 .

[33]  D. Fesenmaier,et al.  Defining the virtual tourist community: implications for tourism marketing , 2002 .

[34]  S. Shyam Sundar,et al.  News cues: Information scent and cognitive heuristics , 2007, J. Assoc. Inf. Sci. Technol..

[35]  J. Walther Computer-Mediated Communication , 1996 .

[36]  M. Eisend Source Credibility Dimensions in Marketing Communication - A Generalized Solution , 2006 .

[37]  Brandon Van Der Heide,et al.  A social network as information: The effect of system generated reports of connectedness on credibility on Twitter , 2012, Comput. Hum. Behav..

[38]  Brandon Van Der Heide,et al.  The Formation of Physician Impressions in Online Communities , 2016, Commun. Res..

[39]  H. Kelley Attribution theory in social psychology , 1967 .

[40]  Stephanie Tom Tong,et al.  The Role of Friends’ Appearance and Behavior on Evaluations of Individuals on Facebook: Are We Known by the Company We Keep? , 2008 .

[41]  Judith Donath,et al.  Public Displays of Connection , 2004 .

[42]  N. Lee,et al.  Word of mouth communication within online communities: Conceptualizing the online social network , 2007 .