On the Relative Efficiency of Crowdsourced Rating Mechanisms: Experimental Evidence

Joshua Foster
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Abstract

This paper experimentally tests the effectiveness of three crowdsourced signaling mechanisms on their ability to resolve an asymmetric information problem over product quality for a set of consumers. Motivated by naturally occurring environments, the first mechanism allowed experimental subjects to submit a signal of high product quality only, the second allowed for a signal of high and a signal of low quality, and the third a five star rating scale of quality, which reported the average rating. In support of the primary hypothesis, the experimental results reveal positive returns to the degree of signal specificity in the rating system given to consumers. Namely, the five- star rating mechanism reduces the presence of asymmetric information more than the high quality signal only mechanism. The high-and-low quality signaling mechanism, which offers an intermediate level of signal specificity on quality, is not statistically different from the other two mechanisms. Furthermore, an analysis of individual characteristics finds evidence that the willingness of a subject to rate products, and thus aid in producing valuable information for other consumers, is critically linked to their pro-social tendencies.
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众包评级机制的相对效率:实验证据
本文通过实验测试了三种众包信号机制解决一组消费者产品质量信息不对称问题的能力。在自然环境的激励下,第一种机制允许实验对象只提交高质量的产品信号,第二种机制允许高质量信号和低质量信号,第三种机制允许质量五星评级量表,报告平均评级。为了支持最初的假设,实验结果揭示了评级系统中给予消费者的信号特异性程度的正回报。也就是说,五星评级机制比高质量信号机制更能减少不对称信息的存在。高质量和低质量信号机制提供了一个中间水平的信号特异性,与其他两种机制没有统计学差异。此外,对个人特征的分析发现证据表明,受试者对产品进行评级的意愿,从而有助于为其他消费者提供有价值的信息,与他们的亲社会倾向密切相关。
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