An Evaluation of Amazon's Mechanical Turk, Its Rapid Rise, and Its Effective Use
An Evaluation of Amazon's Mechanical Turk, Its Rapid Rise, and Its Effective Use
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DOI：
10.1177/1745691617706516
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发表时间：
2018-03-01
影响因子：
12.6
通讯作者：
Gosling, Samuel D.
中科院分区：
文献类型：
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作者：
Buhrmester, Michael D.;Talaifar, Sanaz;Gosling, Samuel D.
在过去的20年里，许多社会科学家通过使用各种在线研究工具扩大了他们的数据收集能力。在2011年的文章“亚马逊的土耳其机器人：廉价但高质量的数据新来源？在《心理科学展望》一书中，Buhrmester、Kwang和Gosling向研究人员介绍了当时被认为是一个有前途但刚刚起步的研究平台。从那时起，来自各个领域的数千名社会科学家使用该平台进行了研究。在这里，我们反思了Mechanical Turk对社会科学的影响以及我们的文章在其崛起中的作用，提供了最新的数据驱动建议，以帮助研究人员有效地使用该平台，并强调了其他值得考虑的在线研究平台。
Over the past 2 decades, many social scientists have expanded their data-collection capabilities by using various online research tools. In the 2011 article "Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data?" in Perspectives on Psychological Science, Buhrmester, Kwang, and Gosling introduced researchers to what was then considered to be a promising but nascent research platform. Since then, thousands of social scientists from seemingly every field have conducted research using the platform. Here, we reflect on the impact of Mechanical Turk on the social sciences and our article's role in its rise, provide the newest data-driven recommendations to help researchers effectively use the platform, and highlight other online research platforms worth consideration.