高头vs长尾:消费者评论是否会增加热门产品和利基产品之间的信息不平等?

Chrysanthos Dellarocas, R. Narayan
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引用次数: 26

摘要

以用户为中心的媒体,如在线产品评论论坛,提供了一个平台,让消费者可以讨论主流媒体没有报道的晦涩产品,许多人希望以此来减少热门产品和小众产品之间的信息不平等,从而帮助将需求转移到不太受欢迎的产品的长尾。一些研究人员对这一观点提出了质疑,他们认为,互联网的其他方面,比如突出显示先前消费者行为的统计数据,最终会加强消费者对已经流行的产品的关注。在本文中,我们通过调查人们对同一类别(电影)的不同产品的购买后在线评论倾向与这些产品受欢迎程度的线下和线上指标之间的关系,对这两个假设的优点进行了实证检验。我们发现了一个有趣的紧张关系,人们喜欢评论那些在线下领域不太知名的产品,同时又喜欢讨论那些很多人已经在网上评论过的产品。总的来说,后一种效应似乎占主导地位:基尼系数分析显示,在我们的样本中,每周用户贡献的电影评论量甚至比相应的每周票房收入更倾向于流行电影。我们的发现对在线论坛设计者和正在进行的长尾理论研究具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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