ABSTRACT 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.

中文翻译：

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众包投票对参与众包竞赛的影响

摘要 虽然专家评级仍然是在创意作品竞赛中选择获胜者的主要方法，但最近一些众包平台采用了“众包投票”来选择获胜者——即让众包社区的用户公开投票选出竞赛获胜者。我们调查了比赛对获胜者选择的群众投票的依赖，定义为群众投票的奖品占总奖金（以美元计）的百分比，如何影响比赛参与。借鉴期望理论和锦标赛理论，我们对这种关系进行了理论理解。使用同时采用群众投票和专家评分的新型比赛数据集，我们发现比赛对群众投票的依赖与参与度呈正相关。具体来说，群众投票依赖度每增加 10%，用户参与的几率就会提高约 7%。而且，众包投票对专业度不高、在众包社区中地位较高的用户更具吸引力。