The Effects of Negatively Valenced Emotional Expressions in Online Reviews on the Reviewer, the Review, and the Product

The authors examine the effects of negatively valenced emotional expressions (NVEE; e.g., intense language, all caps, exclamation points, emoticons) in online reviews and reveal important boundary conditions for their effects. Specifically, Study 1 showed that NVEE directly promote review helpfulness and damage attitude toward the product when used by experts. In contrast, for novices, their use of NVEE was considered a poor reflection on them and failed to directly affect attitude toward the product. Further, attributions of reviewer rationality and trustworthiness were positively associated with review helpfulness and attitude toward the product. Interestingly, language complexity is a trigger to reverse the effects, as found in Study 2. For novices (experts), the adverse effect on trustworthiness is eliminated (introduced) but the adverse effect on attitude toward the product is introduced (eliminated) when they include more complex language accompanied by NVEE in their online reviews. Both studies uncover when source discounting is active for experts and novices, making them equally influential in some cases. Theoretical and managerial implications are provided.

[1]  G. Erickson,et al.  Advertising Strategies in a Dynamic Oligopoly , 1995 .

[2]  J. Malbon Taking Fake Online Consumer Reviews Seriously , 2013 .

[3]  Claude H. Miller,et al.  Expanding Language Expectancy Theory: The Suasory Effects of Lexical Complexity and Syntactic Complexity on Effective Message Design , 2014 .

[4]  Marie-Louise Mares The Role of Source Confusions in Television's Cultivation of Social Reality Judgments , 1996 .

[5]  Martin Wetzels,et al.  More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates , 2013 .

[6]  S. Erevelles The Role of Affect in Marketing , 1998 .

[7]  Marsha L. Richins Measuring Emotions in the Consumption Experience , 1997 .

[8]  Jonah Berger,et al.  Positive Effects of Negative Publicity: When Negative Reviews Increase Sales , 2009, Mark. Sci..

[9]  Geng Cui,et al.  Terms of Use , 2003 .

[10]  E. Kwon,et al.  Follow Me! Global Marketers’ Twitter Use , 2011 .

[11]  M. Eisend The Moderating Influence of Involvement on Two-sided Advertising Effects , 2013 .

[12]  H. Raghav Rao,et al.  Factors Affecting Bloggers' Knowledge Sharing: An Investigation Across Gender , 2011, J. Manag. Inf. Syst..

[13]  Pranjal Gupta,et al.  Emotional expressions in online user reviews: How they influence consumers' product evaluations , 2012 .

[14]  R. Shachar,et al.  On Brands and Word of Mouth , 2013 .

[15]  P. Herr,et al.  Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective , 1991 .

[16]  Yue Pan,et al.  Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews , 2011 .

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

[18]  John E. Hunter,et al.  An Empirical Test of an Axiomatic Model of the Relationship Between Language Intensity and Persuasion , 1990 .

[19]  Matthew L. Jensen,et al.  Credibility of Anonymous Online Product Reviews: A Language Expectancy Perspective , 2013, J. Manag. Inf. Syst..

[20]  Han Zhang,et al.  Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews , 2014, MIS Q..

[21]  J. Lambert,et al.  Increasing response rates in physicians' mail surveys: an experimental study. , 1989, American journal of public health.

[22]  J. Bowers,et al.  THREE LANGUAGE VARIABLES IN COMMUNICATION RESEARCH: INTENSITY, IMMEDIACY, AND DIVERSITY , 1979 .

[23]  Jin Li,et al.  Online Persuasion: How the Written Word Drives WOM , 2011, Journal of Advertising Research.

[24]  M. Burgoon,et al.  TOWARD A MESSAGE‐CENTERED THEORY OF PERSUASION: THREE EMPIRICAL INVESTIGATIONS OF LANGUAGE INTENSITY1 , 1975 .

[25]  D. Buller,et al.  Using language intensity to increase the success of a family intervention to protect children from ultraviolet radiation: predictions from language expectancy theory. , 2000, Preventive medicine.

[26]  Steven M. Shugan Editorial---Are Consumers Rational? Experimental Evidence? , 2006 .

[27]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[28]  Philip Fei Wu In Search of Negativity Bias: An Empirical Study of Perceived Helpfulness of Online Reviews , 2013 .

[29]  R. Peterson,et al.  Consumer information search behavior and the internet , 2003 .

[30]  Seoyeon Hong,et al.  Computer-mediated persuasion in online reviews: Statistical versus narrative evidence , 2012, Comput. Hum. Behav..

[31]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[32]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[33]  Peter R. Dickson,et al.  The adoption of customer service improvement practices , 2015 .

[34]  Traci Y. Craig,et al.  Language and Persuasion: Linguistic Extremity Influences Message Processing and Behavioral Intentions , 2011 .

[35]  Kris Byron,et al.  E-Mail Recipients' Impressions of Senders' Likability , 2007 .

[36]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[37]  Joseph C. Nunes,et al.  Signaling Status with Luxury Goods: The Role of Brand Prominence , 2010 .

[38]  Traci Y. Craig,et al.  Language Use and Persuasion: Multiple Roles for Linguistic Styles , 2011 .

[39]  Lawrence A. Hosman Language and Persuasion , 2002 .

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

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

[42]  Angela Y. Lee,et al.  Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. , 2004, Journal of personality and social psychology.

[43]  R. Beauregard,et al.  An experimental study of credibility in e‐negotiations , 2005 .

[44]  Joshua M. Averbeck Irony and Language Expectancy Theory: Evaluations of Expectancy Violation Outcomes , 2010 .

[45]  Pingjun Jiang,et al.  How third-party certification programs relate to consumer trust in online transactions: An exploratory study , 2008 .