Deleterious consequences: How Google's original sociotechnical affordances ultimately shaped ‘trusted users’ in surveillance capitalism

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Renée Ridgway
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引用次数: 1

Abstract

Google dominates around 92% of the search market worldwide (as of November 2022), with most of its revenue derived from search advertising. However, Google's hegemony over search and the resulting implications are not necessarily accidental, arbitrary or (un)intentional. This article revisits Brin and Page's original paper, drawing on six of their key innovations, concerns and design choices (counting citations or backlinks, trusted user, advertising, personalization, usage data, smart algorithms) to explain the evolution of Google's hypertext search engine technologies through ‘moments of contingency’, which led to corporate lock-ins. Underpinned by analyses of patents, statements and secondary sources, it elucidates how early Google considerations and certain affordances not only came to shape the web (backlinks, trusted user, advertising) but subsequently facilitated contemporary surveillance capitalism. Building upon Zuboff's ‘Big Other’, it describes the ways in which Google as an infrastructure is intertwined with Big Data's platformization and the ad infinitum collection of usage data, beyond just personalization. This extraction and refinement of usage data as ‘behavioural surplus’ results in ‘deleterious consequences’: a ‘habit of automaticity,’ which shapes the trusted user through ‘ubiquitous googling’ and smart algorithms, whilst simultaneously generating prediction products for surveillance capitalism. Advancing Latour's ‘predicting the path’ of technological innovation, this cause-and-effect story contributes a new taxonomy of Google sociotechnical affordances to critical STS, media history and web search literature.
有害后果:谷歌最初的社会技术启示如何最终塑造了监控资本主义中的“可信用户”
谷歌占据了全球约92%的搜索市场(截至2022年11月),其大部分收入来自搜索广告。然而,谷歌对搜索的霸权及其产生的影响并不一定是偶然的、武断的或(非)故意的。本文回顾了Brin和Page的原始论文,借鉴了他们的六项关键创新、关注点和设计选择(计算引用或反向链接、可信用户、广告、个性化、使用数据、智能算法),解释了谷歌超文本搜索引擎技术通过“偶然时刻”的演变,从而导致了公司锁定。在对专利、声明和次要来源的分析的基础上,它阐明了谷歌早期的考虑因素和某些启示不仅塑造了网络(反向链接、可信用户、广告),而且随后促进了当代监控资本主义。它以Zuboff的“Big Other”为基础,描述了谷歌作为一个基础设施与大数据的平台化和使用数据的无限收集交织在一起的方式,而不仅仅是个性化。这种将使用数据提取和提炼为“行为盈余”的做法会产生“有害后果”:一种“自动化习惯”,通过“无处不在的谷歌搜索”和智能算法塑造可信用户,同时为监控资本主义生成预测产品。这个因果故事推动了拉图尔对技术创新的“预测之路”,为批判性STS、媒体历史和网络搜索文献提供了谷歌社会技术可供性的新分类。
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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