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疫情追踪的数字地理:以中国新冠疫情接触者追踪系统为例

Digital geographies of the bug: A case study of China's contact tracing systems in the COVID-19.

作者信息

Yu Yi, Brady Dylan, Zhao Bo

机构信息

School of Urban & Regional Science, East China Normal University, No. 500 Dongchuan Rd, Shanghai 200241, China.

Department of Geography, National University of Singapore, AS2, #03-01, 1 Arts Link, Kent Ridge, Singapore 117570, Singapore.

出版信息

Geoforum. 2022 Dec;137:94-104. doi: 10.1016/j.geoforum.2022.10.007. Epub 2022 Nov 10.

Abstract

The COVID-19 pandemic has radically expanded the role of algorithmic governance in everyday mobility. In China, urban and provincial governments have introduced health codes app as a national contract tracing and quarantine enforcement method to restrict the movements of "risky" individuals through malls, subways, railways, as well as between regions. Yet the health codes have been implemented with uneven efficacy and unexpected consequences. Drawing on glitch politics, we read these unintended consequences as "bugs" emerging from the introduction of platform-based management into everyday life. These bugs mediated individuals' lived experiences of the digital app and the hybrid space constituted by population governance, individual digital navigation, and technology. Drawing on a database of posts scraped from Zhihu, a popular Chinese question-and-answer site, we examine three dimensions of the bug: the algorithmic bug, the territorial bug, and the corporeal bug. This paper sheds light on the significance of end-user experiences in digital infrastructure and contributes to our understanding of the digital geographies of bugs in algorithmic governance and platform urbanism.

摘要

新冠疫情从根本上扩大了算法治理在日常出行中的作用。在中国,城市和省级政府推出了健康码应用程序,作为一种全国性的接触者追踪和检疫执行方法,以限制“风险”人群在商场、地铁、铁路以及不同地区之间的流动。然而,健康码的实施效果参差不齐,还产生了意想不到的后果。基于故障政治,我们将这些意外后果解读为将基于平台的管理引入日常生活中出现的“漏洞”。这些漏洞介导了个人对数字应用程序的生活体验,以及由人口治理、个人数字导航和技术构成的混合空间。利用从中国热门问答网站知乎上抓取的帖子数据库,我们考察了漏洞的三个维度:算法漏洞、地域漏洞和身体漏洞。本文揭示了终端用户体验在数字基础设施中的重要性,并有助于我们理解算法治理和平台城市主义中漏洞的数字地理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d435/9647405/8da008d16405/gr1_lrg.jpg

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