Privacy, Power, and Invisible Labor on Amazon Mechanical Turk
Privacy, Power, and Invisible Labor on Amazon Mechanical Turk
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Amazon Mechanical Turk 上的隐私、权力和隐形劳动
DOI：
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
D. Cosley
中科院分区：
文献类型：
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作者：
Shruti Sannon;D. Cosley
Amazon Mechanical Turk等众包平台上的任务经常要求员工提供个人信息，这会增加隐私风险，而请求者-员工权力动态可能会加剧这种风险。我们采访了14名工人，以了解他们如何应对这些风险。我们发现，Turkers在任务期间提供个人信息的决定是基于对报酬率，请求者，目的和请求的感知敏感性的评估。参与者还参与了多种隐私保护行为，例如放弃任务或提供不准确的数据，尽管这些行为也有成本，例如浪费时间和被拒绝的风险。最后，他们的隐私问题和做法随着他们对平台和工作人员设计的工具和论坛的了解而演变。这些发现加深了我们对付费众包中隐私决策和无形劳动的理解，并强调了了解隐私立场如何随时间变化的普遍需要。
Tasks on crowdsourcing platforms such as Amazon Mechanical Turk often request workers' personal information, raising privacy risks that may be exacerbated by requester-worker power dynamics. We interviewed 14 workers to understand how they navigate these risks. We found that Turkers' decisions to provide personal information during tasks were based on evaluations of the pay rate, the requester, the purpose, and the perceived sensitivity of the request. Participants also engaged in multiple privacy-protective behaviors, such as abandoning tasks or providing inaccurate data, though there were costs associated with these behaviors, such as wasted time and risk of rejection. Finally, their privacy concerns and practices evolved as they learned about both the platform and worker-designed tools and forums. These findings deepen our understanding of both privacy decision-making and invisible labor in paid crowdsourcing, and emphasize a general need to understand how privacy stances change over time.
Amazon Mechanical Turk 上工人收入的数据驱动分析
DOI：
10.48550/arxiv.1712.05796
发表时间：
2017
期刊：
arXiv e-prints
影响因子：
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作者：
Hara Kotaro
通讯作者：
Hara Kotaro