大数据与垄断

Sean Howell
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引用次数: 0

摘要

过去几年,公司收集、汇总和分析大数据的能力迅猛增长,改变了我们对隐私的看法,也改变了公司之间竞争的方式。关于前者已经说了很多。但是,有关法律如何将大数据视为一项有竞争力的资产的文献才刚刚开始形成。本文通过探索基于美国和欧盟公司使用大数据的潜在垄断主张,帮助缩小这一差距。它首先澄清了反垄断法在处理与大数据相关问题时的适当范围,对该领域几个经常被重复的理论提出了质疑。接着,它列出了分析市场力量、反竞争行为和数据密集型行业垄断索赔损害的适当方法。关于反垄断法应该如何解释大数据作为一种有价值的竞争资源的地位,这篇文章对新兴的文献做出了重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data and Monopolization
The furious increase over the past several years in firms’ ability to collect, aggregate, and analyze big data has changed the way we think about privacy, as well as the way firms compete with each other. Much has been said about the former. But the literature on the law’s treatment of big data as a competitive asset is only beginning to take shape. This article helps to close that gap by exploring potential monopolization claims based on firms’ use of big data in both the United States and the European Union. It first clarifies the proper scope of antitrust law in addressing issues related to big data, casting doubt on several oft-repeated theories in this area. It goes on to lay out the proper approach to the analysis of market power, anticompetitive conduct, and damages in monopolization claims in data-heavy industries. The article makes an important contribution to the burgeoning literature on how antitrust law should account for big data’s status as a valuable competitive resource.
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