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We are data: algorithms and the making of our digital selves

机译：我们就是数据：算法和数字自我的建立

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At an earlier point in history, one might have been taken aback by a scholarly presentation of targeted drone strikes, percussion playing robots and couple-making dating sites as case studies for serious consideration within the same book. However, in the context of the second decade of the twenty-first century, we find that digitization has woven the banal trivialities of everyday life as well as the abject severities of state security into a common, discursive web that permeates every facet of contemporary existence. Through the unrelenting use of our personal digital technologies, a dimension of our identity is shaped within this pervasive digital web. Indeed, algorithms have arrived and, for better or worse, they are here to stay. Throughout the length of his most recent book, We are data: Algorithms and the making of our digital selves, John Cheney-Lippold presents compelling evidence that we now simultaneously inhabit both natural and artificial worlds, and that who we are is negotiated somewhere between the two. The focus of his book is dedicated to understanding how our emergent digital identities are defined within an algorithmically moderated environment on data's terms. According to his account of how data defines us on its terms, Cheney-Lippold explains that our metadata, procured through algorithmic deduction, is strategically siphoned into typified profiles of 'who we are' according to formulaic parameters (and in relation to the digital identity narrative that the governing algorithm is tasked to procure). He has aptly coined these typified profiles 'measurable types,' inspired by Max Weber and Erving Goffman's conception of the 'ideal type' (Cheney-Lippold, 2017, p. 51). According to Weber, an 'ideal type' is, formed by the one-sided accentuation of one or more points of view and by the synthesis of a great many diffuse, discrete, more or less present and occasionally absent concrete individual phenomena, which are arranged according to those one-sided emphasized viewpoints into a unified analytical construct. (1949)
机译：在历史的较早时候，可能有人对一架针对性的无人机打击，打击乐器演奏的机器人和夫妻约会的地点的学术介绍感到吃惊，这是在同一本书中认真考虑的案例研究。但是，在二十一世纪的第二个十年的背景下，我们发现数字化已将日常生活的琐碎琐事以及国家安全的严峻考验编织到了一个普遍的，分散的网络中，渗透到当代生活的方方面面。通过不懈地使用我们的个人数字技术，在这个无处不在的数字网络中塑造了我们身份的维度。确实，算法已经到来，无论好坏，它们都将继续存在。在他的最新著作《我们就是数据》中，约翰·切尼·利珀德（John Cheney-Lippold）提出了令人信服的证据，证明我们现在同时居住在自然世界和人造世界中，并且在二。他的书着重于理解如何在以数据为条件的算法调节环境中定义我们的紧急数字身份。根据他关于数据如何用术语定义我们的描述，Cheney-Lippold解释说，通过算法推导获得的我们的元数据根据公式参数（以及与数字身份有关）被战略性地抽取到“我们是谁”的典型配置文件中说明控制算法的任务是采购）。在马克斯·韦伯（Max Weber）和欧文·高夫曼（Erving Goffman）关于``理想类型''的概念的启发下，他恰当地创造了这些典型的档案``可测量类型''（Cheney-Lippold，2017，p.51）。根据韦伯的观点，“理想类型”是通过对一种或多种观点的单侧强调和大量分散，离散，或多或少存在的，偶尔不存在的具体个体现象的综合而形成的。根据那些强调观点的观点排列成一个统一的分析结构。 （1949）

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