European Search? How to counter-imagine and counteract hegemonic search with European search engine projects

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Astrid Mager
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引用次数: 3

Abstract

This article investigates how developers of alternative search engines challenge increasingly corporate imaginaries of digital futures by building out counter-imaginaries of search engines devoted to social values instead of mere profit maximization. Drawing on three in-depth case studies of European search engines, it analyzes how search engine developers counter-imagine hegemonic search, what social values support their imaginaries, and how they are intertwined with their sociotechnical practices. This analysis shows that notions like privacy, independence, and openness appear to be fluid, context-dependent, and changing over time, leading to a certain “value pragmatics” that allows the projects to scale beyond their own communities of practice. It further shows how European values, and broader notions of Europe as “unified or pluralistic,” are constructed and co-produced with developers’ attempts to counter-imagine and counteract hegemonic search. To conclude, I suggest three points of intervention that may help alternative search engine projects, and digital technologies more generally, to not only make their counter-imaginaries more powerful, but also acquire the necessary resources to build their technologies and infrastructures accordingly. I finally discuss how “European values,” in all their richness and diversity, can contribute to this undertaking.
欧洲搜索?如何用欧洲搜索引擎项目来反想象和对抗霸权搜索
本文研究了替代搜索引擎的开发人员如何通过构建致力于社会价值而不仅仅是利润最大化的搜索引擎的反想象来挑战越来越多的企业对数字未来的想象。通过对欧洲搜索引擎的三个深入案例研究,本文分析了搜索引擎开发者是如何反想象霸权式搜索的,什么样的社会价值观支持他们的想象,以及他们是如何与社会技术实践交织在一起的。这一分析表明,像隐私、独立性和开放性这样的概念似乎是流动的、依赖于上下文的,并且随着时间的推移而变化,从而导致某种“价值实用主义”,允许项目扩展到它们自己的实践社区之外。它进一步展示了欧洲价值观,以及更广泛的欧洲“统一或多元”概念,是如何与开发者试图反想象和抵制霸权搜索的努力共同构建和产生的。最后,我提出了三点干预建议,这些建议可以帮助替代搜索引擎项目,以及更广泛的数字技术,不仅使它们的反想象更强大,而且还获得必要的资源来相应地构建它们的技术和基础设施。最后,我讨论了“欧洲价值观”的丰富性和多样性如何为这一事业做出贡献。
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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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