大数据

Ralph Schroeder
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引用次数: 0

摘要

工商业、政府和学术界越来越多地使用“大数据”,比如来自社交媒体的数据,这些数据在规模和范围上都是前所未有的,可以洞察人们的态度或行为。越来越多的人将大数据作为循证决策和政策制定的新工具来推广。在本章中,Ralph Schroeder概述了关于大数据的不同理论观点。他比较了马克思主义者和自由市场思想家(哈耶克的追随者),前者展示了如何利用大数据来利用数字媒体用户,后者认为,在一个数据更多的时代,资本主义将继续带来更多的增长。然后,他将这些观点与社会学家马克斯•韦伯的观点进行了对比。通过对这些理论观点的对比,作者认为在马克思和哈耶克之间存在着一个中间地带。从韦伯的观点来看,大数据既不需要被认可为一种毫无疑问的积极发展,也不一定被批评为本质上的剥削。
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Big Data
Business and industry, governments, and academia are increasingly using “big data,” such as data derived from social media that is unprecedented in its scale and scope in yielding insights into people’s attitudes or behavior. Increasingly, big data has been promoted as a new tool for evidence-based decisions and policy-making. In this chapter, Ralph Schroeder outlines contrasting theoretical perspectives on big data. He compares Marxists, who demonstrate the ways that big data can be deployed to exploit users of digital media, and free-market thinkers (following Hayek), who believe that in an age of more data, capitalism will continue to lead to more growth. He then contrasts those perspectives with those of the sociologist Max Weber. By contrasting these theoretical perspectives, the author argues that there is a middle ground between Marx and Hayek. From a Weberian point of view, big data need neither be endorsed as an unquestionably positive development, nor necessarily critiqued as inherently exploitative.
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