竞赛
众包
投票
可能性
基数投票系统
计算机科学
选票
选择(遗传算法)
项目符号投票
人工智能
政治学
机器学习
万维网
政治
法学
逻辑回归
作者
Liang Chen,Pei Xu,Liu De
标识
DOI:10.1080/07421222.2020.1759342
摘要
While expert rating is still a dominant approach for selecting winners in contests for creative works, a few crowdsourcing platforms have recently used “crowd voting” for winner selection – that is, let users of the crowdsourcing community publicly vote for contest winners. We investigate how a contest’s reliance on crowd voting for winner selection, defined as the percentage of crowd-voted prizes to the total prize sum (in dollar amounts), affects contest participation. Drawing upon expectancy theory and tournament theory, we develop a theoretical understanding of this relationship. Using a novel dataset of contests employing both crowd voting and expert rating, we find that a contest’s reliance on crowd voting is positively associated with participation. Specifically, every 10% increase in the crowd-voting reliance can boost users’ odds of participation by about 7%. Moreover, crowd voting is more appealing to users whose expertise is not high and whose status in the crowdsourcing community is high.
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