Purpose

The purpose of this paper is to illustrate how big data analytics pushed the limits of individuals' accountability as South Korea tried to control and contain coronavirus disease 2019 (COVID-19).

Design/methodology/approach

The authors draw upon Deleuzo-Guattarian framework elaborating how a surveillant assemblage was rhizomatically created and operated to monitor a segment of the population holding them accountable. Publicly available secondary data, such as press release from the government and media coverage, were used.

Findings

A COVID-19 Smart Management System and a Self-Quarantine Safety Protection App constituted a surveillance assemblage operating in a “state-form”. This comprises the central government departments, local councils, policing systems, providers of telecommunication and financial services, and independent groups of people. This assemblage pushed the limits of accountability as individuals who tested positive or might bear possible future risks of the infection and transmission were held accountable for their locations and health conditions.

Practical implications

Policymakers may consider constructing this type of state-form for containing and controlling pandemics, such as COVID-19, while dealing with the issue of undermined privacy.

Social implications

The mass may consider to what extent individuals' personal information should be protected and how to hold the governments accountable for the legitimate use of such information.

Originality/value

While accountability studies have largely focussed on formal organisations, the authors illustrated how a broader context of a state-form, harnessing big data analytics, pushes the limits of accountability.

中文翻译：

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突破责任限制：韩国包含和控制COVID-19的大数据分析

目的

本文的目的是说明当韩国试图控制和遏制2019年冠状病毒病（COVID-19）时，大数据分析如何推动个人责任制的局限性。

设计/方法/方法

这组作者借鉴了Deleuzo-Guattarian框架，详细阐述了如何以根际方式创建监视组合并对其进行监视，以监控一部分对其负责的人群。使用了公开可用的辅助数据，例如政府的新闻稿和媒体报道。

发现

COVID-19智能管理系统和自我隔离安全保护应用程序构成了以“国家形式”运行的监视组件。这包括中央政府部门，地方议会，警务系统，电信和金融服务提供商以及独立的人群。这种组合推动了责任制的局限性，因为测试阳性或可能承担未来感染和传播风险的个人要对自己的位置和健康状况负责。

实际影响

政策制定者可以考虑构造这种状态表格来遏制和控制大流行病（例如COVID-19），同时解决隐私受到破坏的问题。

社会影响

群众可以考虑应在多大程度上保护个人信息，以及如何要求政府对此类信息的合法使用负责。

创意/价值

虽然问责制研究主要集中在正式组织上，但作者们举例说明了利用大数据分析的更广泛的州形式背景如何推动了问责制的极限。