Crowdsourcing research: Data collection with Amazon’s Mechanical Turk 论文
2017Communication Monographs引用 410
Mobile Crowdsensing and CrowdsourcingDigital Marketing and Social MediaExpert finding and Q&A systems
详细信息
- 发表期刊/会议
- Communication Monographs
- 发表日期
- 2017-07-04
- 发表年份
- 2017
关键词
Mobile Crowdsensing and CrowdsourcingDigital Marketing and Social MediaExpert finding and Q&A systems
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.