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A guideline for understanding and measuring algorithmic governance in everyday life 在日常生活中理解和衡量算法治理的指南
IF 3.6 Q1 COMMUNICATION Pub Date : 2019-06-30 DOI: 10.14763/2019.2.1415
M. Latzer, Noemi Festic
Algorithmic governance affects individuals’ reality construction and consequently social order in societies. Vague concepts of algorithmic governance and the lack of comprehensive empirical insights into this kind of institutional steering by software from a user perspective may, however, lead to unrealistic risk assessments and premature policy conclusions. Therefore, this paper offers a theoretical model to measure the significance of algorithmic governance and an empirical mixed-methods approach to test it in different life domains. Applying this guideline should lead to a more nuanced understanding of the actual significance of algorithmic governance, thus contributing to an empirically better-informed risk assessment and governance of algorithms.
算法治理影响个人的现实建构,进而影响社会秩序。然而,算法治理的模糊概念和缺乏从用户角度对这种由软件进行的制度指导的全面经验见解可能导致不切实际的风险评估和过早的政策结论。因此,本文提出了一个理论模型来衡量算法治理的重要性,并提出了一种实证混合方法来检验它在不同生活领域的重要性。应用这一指导方针应该导致对算法治理的实际意义有更细致的理解,从而有助于在经验上更好地了解算法的风险评估和治理。
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引用次数: 27
The 'golden view': data-driven governance in the scoring society “黄金观点”:评分社会中的数据驱动治理
IF 3.6 Q1 COMMUNICATION Pub Date : 2019-06-30 DOI: 10.14763/2019.2.1413
L. Dencik, J. Redden, A. Hintz, Harry Warne
Drawing on the first comprehensive investigation into the uses of data analytics in UK public services, this article outlines developments and practices surrounding the upsurge in data-driven forms of what we term ‘citizen scoring’. This refers to the use of data analytics in government for the purposes of categorisation, assessment and prediction at both individual and population level. Combining Freedom of Information requests and semi-structured interviews with public sector workers and civil society organisations, we detail the practices surrounding these developments and the nature of concerns expressed by different stakeholder groups as a way to elicit the heterogeneity, tensions and negotiations that shape the contemporary landscape of data-driven governance. Described by practitioners as a way to achieve a ‘golden view’ of populations, we argue that data systems need to be situated in this context in order to understand the wider politics of such a ‘view’ and the implications this has for state-citizen relations in the scoring society.
根据对英国公共服务中数据分析使用的第一次全面调查,本文概述了围绕我们称之为“公民评分”的数据驱动形式激增的发展和实践。这是指在政府中使用数据分析,以便在个人和人口水平上进行分类、评估和预测。结合信息自由要求和对公共部门工作人员和民间社会组织的半结构化访谈,我们详细介绍了围绕这些发展的实践,以及不同利益相关者群体所表达的关切的性质,以此来引出塑造当代数据驱动治理格局的异质性、紧张关系和谈判。从业人员将其描述为实现人口“黄金观”的一种方式,我们认为数据系统需要置于这种背景下,以便理解这种“观”的更广泛政治以及这对计分社会中国家-公民关系的影响。
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引用次数: 36
Disrupting the disruptive: making sense of app blocking in Brazil 颠覆颠覆性:理解巴西应用程序屏蔽的意义
IF 3.6 Q1 COMMUNICATION Pub Date : 2018-07-14 DOI: 10.14763/2018.3.928
Jacqueline de Souza Abreu
: Brazil has a record of judicial orders demanding that intermediaries such as local internet access providers and app stores administrators “block” user access to social media applications (such as YouTube, Facebook, Secret, and WhatsApp), because the application allegedly either provides an illegal service or has failed to comply with a court order. This paper reflects on this phenomenon and adds to a body of literature that tries to understand why internet blocking practices are enacted by looking at the context in which they happen. Upon review of episodes of social media blocking in Brazil, it argues that the blocking orders issued by Brazilian judges can be connected with a scenario of “regulatory disruption”, that is, a context of regulatory frameworks unfit to deal with innovative internet applications. This context expands the role of the judiciary in resolving legal disputes. Given that this disruptive scenario is not per se exclusive to Brazil, the paper suggests that the practice is further associated with the country’s legal culture, judicial behaviour, and level of social and institutional development.
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引用次数: 0
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Internet Policy Review
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