土耳其机械工人的人口统计学和动态

D. Difallah, Elena Filatova, Panagiotis G. Ipeirotis
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引用次数: 409

摘要

根据我们在28个月的时间里进行的调查结果,我们对亚马逊土耳其机械工人的人口动态和人口统计数据进行了分析,来自4万名独立参与者的8.5万多份回复。人口统计调查正在进行中(截至2017年11月),结果可在http://demographics.mturk-tracker.com:上获得。我们为研究人员提供了一个API来下载调查数据。我们使用生态学领域的技术,特别是捕获-再捕获技术,来了解潜在种群的规模和动态。我们还演示了如何在此类调查中建模和解释固有的选择偏差。我们的研究结果表明,在亚马逊的众包平台上有超过10万名工人,工人在平台上的参与遵循重尾分布,在任何给定的时间都有超过2K的活跃工人。我们还表明,一个工人在平台上的半衰期约为12-18个月,新工人的到来率平衡了离开率,使整个工人人口相对稳定。最后,我们展示了如何估计不同人口统计数据的偏差来参与调查任务,并展示了如何纠正这种偏差。我们的方法是通用的,可以应用于任何我们对了解潜在用户群体的动态和人口统计数据感兴趣的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demographics and Dynamics of Mechanical Turk Workers
We present an analysis of the population dynamics and demographics of Amazon Mechanical Turk workers based on the results of the survey that we conducted over a period of 28 months, with more than 85K responses from 40K unique participants. The demographics survey is ongoing (as of November 2017), and the results are available at http://demographics.mturk-tracker.com: we provide an API for researchers to download the survey data. We use techniques from the field of ecology, in particular, the capture-recapture technique, to understand the size and dynamics of the underlying population. We also demonstrate how to model and account for the inherent selection biases in such surveys. Our results indicate that there are more than 100K workers available in Amazon»s crowdsourcing platform, the participation of the workers in the platform follows a heavy-tailed distribution, and at any given time there are more than 2K active workers. We also show that the half-life of a worker on the platform is around 12-18 months and that the rate of arrival of new workers balances the rate of departures, keeping the overall worker population relatively stable. Finally, we demonstrate how we can estimate the biases of different demographics to participate in the survey tasks, and show how to correct such biases. Our methodology is generic and can be applied to any platform where we are interested in understanding the dynamics and demographics of the underlying user population.
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