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E-book Data Privacy and Crowdsourcing : A Comparison of Selected Problems in China, Germany and the United States
ata has been dubbed the “new oil” (Economist, 2017) driving the business models of the digital economy, but there are considerable privacy risks for those operating in the digital space. People whose livelihoods depend on crowdworking can be particularly affected, since the use of their data can be essential for them, namely when data processing no longer opens up any employment opportunities for them or their wages are reduced to a minimum (Kittur et al., 2013). Given the paucity of research on the extent of crowdworking markets, we provide a brief overview of the phenomenon in Chap. 2. For this purpose, a systematic analysis of academic literature and industry reports is carried out. Chapters 3 and 4 constitute the core of this book. The analysis of data protection laws in Chap. 3 is based on a rigorous legal analysis. Like others before us in different areas of law (Kraakman et al., 2017), we have chosen a functional approach to examining the legal rules. In our study on privacy practices in Chap. 4, we follow Dorfleitner and Hornuf (2019) and empir-ically examine the privacy statements of crowdsourcing platforms. We extend their study by comparing privacy statements across three different countries and by comparing the crowdsourcing industry to another industry in which sensitive data is processed: the financial technology industry. In line with the classification of Boudreau and Lakhani (2013), we also examine differences between crowd complementor, crowd labor market, collaborative community, and crowd contest platforms. The analysis of privacy statements enables us to examine, among other things, which data platforms process, why they process this data, and to whom they transmit it. Based on the empirical analysis, conclusions can be drawn regarding ways in which transparent platforms deal with data processing and inform users through privacy statements. Assuming that platforms are transparent in their privacy statements, conclusions can also be drawn about how fairly crowdworkers are treated in the respective jurisdictions.21 IntroductionWe have chosen China, Germany and the U.S. for our comparison because these countries are home to some of the largest crowdsourcing platforms. They are also among the four largest economies in the world, alongside Japan.
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