Tall Heads vs. Long Tails: Do Consumer Reviews Increase the Informational Inequality Between Hit and Niche Products?

By providing a platform where consumers can discuss obscure products not covered by mainstream media, user-centered media, such as online product review forums, are expected by many to reduce the informational inequality between hit and niche products and thus help shift demand towards the long tail of less popular products. Some researchers have challenged this viewpoint, arguing that other aspects of the Internet, such as the prevalence of prominently displayed statistics about the actions of prior consumers, end up reinforcing consumer attention on already popular products. In this paper, we empirically test the merits of these two hypotheses by investigating how a population's propensity to contribute post-purchase online reviews for different products of the same category (motion pictures) relates to offline and online indicators of those products' popularity. We discover the presence of an interesting tension between the population's preference to review products that are lesser known in the offline domain and its simultaneous attraction to discussing products that many other people have already commented on online. Overall, it appears that the latter effect dominates: A Gini coefficient analysis reveals that the weekly volumes of user-contributed movie reviews in our sample are even more skewed towards popular movies than the corresponding weekly box office revenues. Our findings have implications for online forum designers and for ongoing research on the long tail theory.

[1]  Peter Clarke.  Teenagers' Coorientation and Information-Seeking About Pop Music , 1973 .

[2]  Anita Elberse,et al.  Superstars and Underdogs: An Examination of the Long Tail Phenomenon in Video Sales , 2007 .

[3]  E. Anderson.  Customer Satisfaction and Word of Mouth , 1998 .

[4]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[5]  Juanjuan Zhang,et al.  Long Tail or Steep Tail? A Field Investigation into How Online Popularity Information Affects the Distribution of Customer Choices , 2007 .

[6]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[7]  Cynthia M. Webster,et al.  Word-Of-Mouth Communications: a Motivational Analysis , 1998 .

[8]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[9]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[10]  T. Liao.  Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models , 1994 .

[11]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[12]  E. Clemons,et al.  When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry , 2006 .

[13]  Chris Anderson,et al.  The Long Tail: Why the Future of Business is Selling Less of More , 2006 .

[14]  Jennifer Preece,et al.  Lurker demographics: counting the silent , 2000, CHI.

[15]  C. Gini.  Measurement of Inequality of Incomes , 1921 .

[16]  Xin Li,et al.  Using Social Psychology to Motivate Contributions to Online Communities , 2005, J. Comput. Mediat. Commun..

[17]  B. Douglas Bernheim,et al.  On the Voluntary and Involuntary Provision of Public Goods , 1986 .

[18]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[19]  S. Rosen.  The Economics of Superstars , 1981 .

[20]  Chrysanthos Dellarocas,et al.  A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth , 2006 .

[21]  Pravin K. Trivedi,et al.  Regression Analysis of Count Data , 1998 .

[22]  S. Karau,et al.  Understanding individual motivation in groups: The collective effort model. , 2001 .

[23]  Bin Gu,et al.  Herd Behavior and Software Adoption on the Internet: An Empirical Investigation , 2006 .

[24]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[25]  Arthur De Vany,et al.  Bose-Einstein Dynamics and Adaptive Contracting in the Motion Picture Industry , 1996 .