亚马逊土耳其机器人的评估、快速崛起及其有效应用。

An Evaluation of Amazon's Mechanical Turk, Its Rapid Rise, and Its Effective Use.

机构信息

1 Institute of Cognitive and Evolutionary Anthropology, University of Oxford.

2 Department of Psychology, University of Texas at Austin.

出版信息

Perspect Psychol Sci. 2018 Mar;13(2):149-154. doi: 10.1177/1745691617706516.

DOI:10.1177/1745691617706516

PMID:29928846

Abstract

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.

摘要

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来扩展他们的数据收集能力。在 2011 年发表于《心理科学展望》（Perspectives on Psychological Science）的文章“亚马逊的 Mechanical Turk：一种新的廉价但高质量数据来源？”中，Buhrmester、Kwang 和 Gosling 向研究人员介绍了当时被认为是有前途但尚未成熟的研究平台。从那时起，来自各个领域的数千名社会科学家都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兴起中的作用，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。