Opinion Formation Under Costly Expression

被引:38
作者
Wu, Fang [1 ]
Huberman, Bernardo A. [1 ]
机构
[1] HP Labs, Palo Alto, CA 94301 USA
关键词
Opinion formation; costly expression;
D O I
10.1145/1858948.1858953
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
Opinions play an important role in trust building and the creation of consensus about issues and products and a number of studies have focused on the design, evaluation, and utilization of online opinion systems. However, little effort has been spent on the dynamic aspects of online opinion formation. In this article, we study the dynamics of online opinion expression by analyzing the temporal evolution of vey large sets of user views and determine that in the course of time, later opinions tend to show a big difference with earlier opinions, which moderates the average opinion to the less extreme. Online posters also tend to disagree with previous opinions when the cost of expression is high.
引用
收藏
页数:13
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