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The General Data Protection Regulation in the Age of Surveillance Capitalism

机译:监测资本主义时代的一般数据保护规范

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Clicks, comments, transactions, and physical movements are being increasingly recorded and analyzed by Big Data processors who use this information to trace the sentiment and activities of markets and voters. While the benefits of Big Data have received considerable attention, it is the potential social costs of practices associated with Big Data that are of interest to us in this paper. Prior research has investigated the impact of Big Data on individual privacy rights, however, there is also growing recognition of its capacity to be mobilized for surveillance purposes. Our paper delineates the underlying issues of privacy and surveillance and presents them as in tension with one another. We postulate that efforts at controlling Big Data may create a trade-off of risks rather than an overall improvement in data protection. We explore this idea in relation to the principles of the European Union's General Data Protection Regulation (GDPR) as it arguably embodies the new 'gold standard' of cyber-laws. We posit that safeguards advocated by the law, anonymization and pseudonymization, while representing effective counter measures to privacy concerns, also incentivize the use, collection, and trade of behavioral and other forms of de-identified data. We consider the legal status of these ownerless forms of data, arguing that data protection techniques such as anonymization and pseudonymization raise significant concerns over the ownership of behavioral data and its potential use in the large-scale modification of activities and choices made both on and offline.
机译:点击,评论,事务和物理运动正在越来越录制和分析,这些数据处理器使用这些信息来跟踪市场和选民的情绪和活动。虽然大数据的好处受到了相当大的关注,但它是与本文兴趣的大数据相关的潜在社会成本。先前的研究已经调查了大数据对个体隐私权的影响,然而,还有越来越高落对监督目的的动员能力的认可。我们的论文界定了隐私和监测的潜在问题,并将其兼容彼此紧张。我们假设控制大数据的努力可能会产生风险的权衡,而不是整体改进数据保护。我们探讨了欧盟一般数据保护条例(GDPR)的原则,探讨了这个想法,因为它可以说是体现了网络法的新“黄金标准”。我们对法律提倡的保障措施,匿名化和假义主张,同时代表了对隐私问题的有效抵制措施,还激活了行为和其他形式的除标识数据的使用,收集和贸易。我们考虑这些无主数据形式的法律地位,争论数据保护技术如匿名化和假义等,对行为数据的所有权提出了重大问题,并且其潜在使用在大规模修改的活动和选择中的大规模修改。

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