A Tale of Two Communities: Privacy of Third Party App Users in Crowdsourcing - The Case of Receipt Transcription
A Tale of Two Communities: Privacy of Third Party App Users in Crowdsourcing - The Case of Receipt Transcription
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两个社区的故事：众包中第三方应用程序用户的隐私 - 以收据转录为例
DOI：
10.1145/3610044
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发表时间：
2023
影响因子：
--
通讯作者：
Yue, Chuan
中科院分区：
文献类型：
--
作者：
Pei, Weiping;Likhtenshteyn, Yanina;Yue, Chuan
移动和网络应用程序越来越依赖于用户生成或提供的数据，例如来自他们上传的文档和图像。不幸的是，这些应用程序可能会引发严重的用户隐私问题。具体地说，为了训练或调整他们的模型，以准确处理从数百万APP用户连续收集的海量数据，APP或服务提供商广泛采用众包的方式来招募众包工作人员，手动注释或转录采样的不断变化的用户数据。然而，当用户的数据通过应用程序上传，然后被数十万匿名群组工作人员广泛访问时，许多与环路中的人相关的隐私问题出现了，涉及应用程序用户社区和群组工作人员社区。在这篇文章中，我们建议调查这一显著趋势带来的隐私风险，即对APP用户在日常活动中生成的数据进行大规模的众筹处理。我们考虑拥有数百万用户的收据扫描应用的代表性案例，并重点关注众包平台上流行的相应收据转录任务。我们设计并进行了一项应用程序用户调查研究(n=108)，以探索在使用收据扫描应用程序的背景下，应用程序用户如何感知隐私。我们还设计和实施了一项群体工作者调查研究(n=102)，以探索群体工作者在接收和其他类型的转录任务时的经历以及他们对这些任务的态度。总体而言，我们发现大多数应用程序用户和众筹工作人员对收据所有者的潜在隐私风险表示了强烈的担忧，他们对保护收据所有者隐私的必要性也有非常高的认同。我们的工作为APP用户在众包中潜在的隐私风险提供了洞察，并突显了在众包平台上保护第三方用户隐私的必要性和挑战。我们已经负责任地向相关众包平台和应用程序提供商披露了我们的调查结果。
Mobile and web apps are increasingly relying on the data generated or provided by users such as from their uploaded documents and images. Unfortunately, those apps may raise significant user privacy concerns. Specifically, to train or adapt their models for accurately processing huge amounts of data continuously collected from millions of app users, app or service providers have widely adopted the approach of crowdsourcing for recruiting crowd workers to manually annotate or transcribe the sampled ever-changing user data. However, when users' data are uploaded through apps and then become widely accessible to hundreds of thousands of anonymous crowd workers, many human-in-the-loop related privacy questions arise concerning both the app user community and the crowd worker community. In this paper, we propose to investigate the privacy risks brought by this significant trend of large-scale crowd-powered processing of app users' data generated in their daily activities. We consider the representative case of receipt scanning apps that have millions of users, and focus on the corresponding receipt transcription tasks that appear popularly on crowdsourcing platforms. We design and conduct an app user survey study (n=108) to explore how app users perceive privacy in the context of using receipt scanning apps. We also design and conduct a crowd worker survey study (n=102) to explore crowd workers' experiences on receipt and other types of transcription tasks as well as their attitudes towards such tasks. Overall, we found that most app users and crowd workers expressed strong concerns about the potential privacy risks to receipt owners, and they also had a very high level of agreement with the need for protecting receipt owners' privacy. Our work provides insights on app users' potential privacy risks in crowdsourcing, and highlights the need and challenges for protecting third party users' privacy on crowdsourcing platforms. We have responsibly disclosed our findings to the related crowdsourcing platform and app providers.
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DOI：
10.2139/ssrn.2228728
发表时间：
2013-03
期刊：
Entrepreneurship & Economics eJournal
影响因子：
--
作者：
Matthew Lease;J. Hullman;Jeffrey P. Bigham;Michael S. Bernstein;Juho Kim;Walter S. Lasecki;Saeideh Bakhshi;Tanushree Mitra;Robert C. Miller
通讯作者：
Matthew Lease;J. Hullman;Jeffrey P. Bigham;Michael S. Bernstein;Juho Kim;Walter S. Lasecki;Saeideh Bakhshi;Tanushree Mitra;Robert C. Miller
混淆作为共享照片的隐私增强技术的有效性和用户体验
影响因子：
--
作者：
Yifang Li;Nishant Vishwamitra;Bart P. Knijnenburg;Hongxin Hu;Kelly E. Caine
通讯作者：
Kelly E. Caine
影响因子：
--
作者：
Pei, Weiping;Yang, Zhiju;Chen, Monchu;Yue, Chuan
通讯作者：
Yue, Chuan
具有人机交互关注的人群辅助灾难场景评估
DOI：
10.1609/aaai.v34i03.5658
发表时间：
2020
期刊：
2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
影响因子：
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作者：
D. Zhang;Yifeng Huang;Yang Zhang;Dong Wang
通讯作者：
Dong Wang
CrowdMask：通过渐进式过滤，利用群体在群体驱动的系统中保护隐私
DOI：
--
发表时间：
2017
期刊：
AAAI Conference on Human Computation & Crowdsourcing
影响因子：
--
作者：
Harmanpreet Kaur;Mitchell L. Gordon;Yi Wei Yang;Jeffrey P. Bigham;J. Teevan;Ece Kamar;Walter S. Lasecki
通讯作者：
Walter S. Lasecki