Abstract
Abstract
While Amazon's Mechanical Turk (MTurk) has reduced the cost of collecting original data, in 2018, researchers noted the potential existence of a large number of bad actors on the platform. To evaluate data quality on MTurk, we fielded three surveys between 2018 and 2020. While we find no evidence of a “bot epidemic,” significant portions of the data—between 25 and 35 percent—are of dubious quality. While the number of IP addresses that completed the survey multiple times or circumvented location requirements fell almost 50 percent over time, suspicious IP addresses are more prevalent on MTurk than on other platforms. Furthermore, many respondents appear to respond humorously or insincerely, and this behavior increased over 200 percent from 2018 to 2020. Importantly, these low-quality responses attenuate observed treatment effects by magnitudes ranging from approximately 10 to 30 percent.
Publisher
Cambridge University Press (CUP)
Subject
Political Science and International Relations,Sociology and Political Science
Reference54 articles.
1. The Delegate Paradox: Why Polarized Politicians Can Represent Citizens Best
2. Litman, L (2019) Best recruitment practices: working with issues of non-naivete on MTurk. Available at https://www.cloudresearch.com/resources/blog/best-recruitment-practices-working-with-issues-of-non-naivete-on-mturk/.
3. The Market for "Lemons": Quality Uncertainty and the Market Mechanism
4. Inside the Turk
5. Amazon Mechanical Turk (2019 b) Qualifications and worker task quality. Available at https://blog.mturk.com/qualifications-and-worker-task-quality-best-practices-886f1f4e03fc.
Cited by
48 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献