Crowdsourcing research: Data collection with Amazon's Mechanical Turk

被引:261
|
作者
Sheehan, Kim Bartel [1 ]
机构
[1] Univ Oregon, Sch Journalism & Commun, Eugene, OR 97403 USA
关键词
MTurk; Amazon's Mechanical Turk; crowdsourcing; research pools; guidelines; validity; DATA QUALITY; MTURK; PARTICIPANTS; ACCURACY;
D O I
10.1080/03637751.2017.1342043
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
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.
引用
收藏
页码:140 / 156
页数:17
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