为什么你不应该相信在MTurk上收集的数据
1Environmental Social Sciences Department, Stanford University, 473 Via Ortega, Stanford, CA, 94301, USA. cameronstuartkay@gmail.com.
Behavior research methods
|November 10, 2025
概括
亚马逊机械土耳其 (MTurk) 的数据质量不可靠. 相互矛盾的调查项目在MTurk上显示出正相关性,与其他平台不同,表明数据收集不值得信赖.
科学领域:
- 心理学是一门科学.
- 数据科学是数据科学.
- 人与计算机的互动.
背景情况:
- 之前的研究表明亚马逊机械土耳其 (MTurk) 的数据质量问题.
- 先进的方法已经证实了这些数据完整性问题.
- 需要可访问的演示来说明问题的程度.
研究的目的:
- 为MTurk.提供数据质量问题的明确和可访问的演示.
- 为了比较MTurk,Connect和Prolific平台的数据质量.
- 调查语义反义词项对对的可靠性,以评估数据完整性.
主要方法:
- 管理了27个语义反义词项目对,评估矛盾的内容.
- 从Connect (N=100),Prolific (N=100) 和MTurk (N=1000) 的样本收集的数据.
- 分析了不同平台上的项目对相关性.
主要成果:
- 超过96%的项目对在MTurk上具有积极的相关性,与Connect和Prolific的负相关性形成鲜明对比.
- 使用注意力检查的数据选没有解决这个问题.
- 招募高生产率或高声誉的MTurk参与者并没有提高数据可靠性.
结论:
- 通过MTurk收集的数据显示了重要的质量和可靠性问题.
- 标准的数据清理和参与者选择方法不足以确保MTurk数据完整性.
- 调查结果强烈表明,MTurk数据不能用于研究目的.
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