Motivating participation in crowdsourced policymaking: The interplay of epistemic and interactive aspects

被引：9
作者：
Aitamurto T. [1 ]
Saldivar J. [2 ]
机构：
[1] Stanford University, United States
[2] Catholic University 'Nuestra Señora de la Asunción', Paraguay
来源：
Proceedings of the ACM on Human-Computer Interaction | 2017年 / 1卷 / CSCW期
关键词：
Crowdsourcing; Democratic innovations; Motivation factors; Participatory democracy; Policymaking;
D O I：
10.1145/3134653
中图分类号：
学科分类号：
摘要：
In this paper, we examine the changes in motivation factors in crowdsourced policymaking. By drawing on longitudinal data from a crowdsourced law reform, we show that people participated because they wanted to improve the law, learn, and solve problems. When crowdsourcing reached a saturation point, the motivation factors weakened and the crowd disengaged. Learning was the only factor that did not weaken. The participants learned while interacting with others, and the more actively the participants commented, the more likely they stayed engaged. Crowdsourced policymaking should thus be designed to support both epistemic and interactive aspects. While the crowd's motives were rooted in self-interest, their knowledge perspective showed common-good orientation, implying that rather than being dichotomous, motivation factors move on a continuum. The design of crowdsourced policymaking should support the dynamic nature of the process and the motivation factors driving it. © 2017 Association for Computing Machinery.
引用
收藏
相关论文
共 88 条
[1]  
Aitamurto T., Motivation factors in crowdsourced journalism: Social impact, social change, and peer learning, International Journal of Communication, 9, pp. 3523-3543, (2015)
[2]  
Aitamurto T., Chen K., Cherif A., Saldivar J., Santana L., Civic crowd analytics: Making sense of crowdsourced civic input with big data tools, Proc. Academic Mind Trek, 2016, pp. 86-94, (2016)
[3]  
Aitamurto T., Landemore H., Five design principles for crowdsourced policymaking: Assessing the case of crowdsourced of-road traic law in Finland, Journal of Social Media for Organizations, 2, 1, pp. 1-19, (2015)
[4]  
Aitamurto T., Landemore H., Crowdsourced deliberation: The case of the law on of-road traic in Finland, Policy & Internet, 8, 2, pp. 174-196, (2016)
[5]  
Aitamurto T., Landemore H., Galli J.S., Unmasking the crowd: Participants' motivation factors, expectations, and proile in a crowdsourced law reform, Information, Communication & Society, 20, 8, pp. 1239-1260, (2016)
[6]  
Aitamurto T., Saldivar J., Examining the quality of crowdsourced deliberation: Respect, reciprocity and lack of common-good orientation, Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2314-2321, (2017)
[7]  
Albrecht S., Whose voice is heard in online deliberation?: A study of participation and representation in political debates on the internet, Information, Communication & Society, 9, 1, pp. 68-82, (2006)
[8]  
Aldrich J., Rational choice and turnout, American Journal of Political Science, 37, 1, pp. 246-278, (1993)
[9]  
Antin J., My kind of people?: Perceptions about wikipedia contributors and their motivations, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3411-3420, (2011)
[10]  
Antin J., Shaw A., Social desirability bias and self-reports of motivation: A study of amazon mechanical turk in the US and India, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2925-2934, (2012)
123456789