School of Global Policy & Strategy, University of California, San Diego, La Jolla, CA, United States of America.
Scheller College of Business, Georgia Institute of Technology 800 W Peachtree St NW, Atlanta, GA, United States of America.
PLoS One. 2019 Nov 21;14(11):e0224946. doi: 10.1371/journal.pone.0224946. eCollection 2019.
Digitization has facilitated the proliferation of crowd science by lowering the cost of finding individuals with the willingness to participate in science without pay. However, the factors that influence participation and the outcomes of voluntary participation are unclear. We report two findings from a field experiment on the world's largest crowd science platform that tests how voluntary contributions to science are affected by providing clarifying information on either the desired outcome of a scientific task or the labor requirements for completing the task. First, there is significant heterogeneity in the motivations and ability of contributors to crowd science. Second, both of the information interventions lead to significant decreases in the quantity and increases in the quality of contributions. Combined, our findings are consistent with the information interventions improving match quality between the task and the volunteer. Our findings suggest that science can be democratized by engaging individuals with varying skill levels and motivations with small changes in the information provided to participants.
数字化降低了寻找愿意无偿参与科学研究的个人的成本,从而促进了众包科学的发展。然而,影响参与度和自愿参与结果的因素尚不清楚。我们报告了在世界上最大的众包科学平台上进行的一项现场实验的两项发现,该实验测试了通过提供关于科学任务的预期结果或完成任务的劳动力要求的澄清信息,对科学的自愿贡献会受到何种影响。首先,众包科学的贡献者的动机和能力存在显著的异质性。其次,这两种信息干预都导致了贡献数量的显著减少和质量的显著提高。综合来看,我们的研究结果表明,通过向具有不同技能水平和动机的个人提供少量的信息改变,可以使科学民主化。