Crowdsourcing research: Data collection with Amazon's Mechanical Turk
Crowdsourcing research: Data collection with Amazon's Mechanical Turk
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DOI：
10.1080/03637751.2017.1342043
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发表时间：
2018-01-01
影响因子：
2.5
通讯作者：
Sheehan, Kim Bartel
中科院分区：
文献类型：
--
作者：
Sheehan, Kim Bartel
不同学科的研究人员使用亚马逊的众包平台Mechanical Turk作为一种从比典型学生样本更多样化的受访者群体中收集数据的方法。该平台还提供了其他在线面板服务的成本效益，并且可以非常快速地收集数据。然而，一些研究人员尝试该平台的速度较慢，可能是因为缺乏对其功能的认识或对其有效性的担忧。本文概述了Mechanical Turk作为一个学术研究平台的概况，并对其研究的优势和劣势进行了严格的检查。收集数据的有效性，可靠性和道德问题的指导方针。
Researchers in a variety of disciplines use Amazon's crowdsourcing platform called Mechanical Turk as a way to collect data from a respondent pool that is much more diverse than a typical student sample. The platform also provides cost efficiencies over other online panel services and data can be collected very quickly. However, some researchers have been slower to try the platform, perhaps because of a lack of awareness of its functions or concerns with validity. This article provides an overview of Mechanical Turk as an academic research platform and a critical examination of its strengths and weaknesses for research. Guidelines for collecting data that address issues of validity, reliability, and ethics are presented.