监控政治、数字监控与新的抗议运动:对香港雨伞运动的分析

John Postill, Victor Lasa, Ge Zhang
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引用次数: 3

摘要

在本文中,我们试图为当前的数字监控学术注入一些活力和复杂性。根据香港的人种学研究,我们认为数字监控是一个多方位的努力,具有自上而下、自下而上和水平的维度。因此,它不能被简化为一个全能的“监视国家”的自上而下的描绘——即使在像中国这样的先进监视政权中也是如此。相反,我们建议必须将数字监控实践置于一个更大的动态系统中,我们将其描述为监控政治,这是一种政治行动,在这种政治行动中,国家和非国家行为体在快速变化的交流环境中监视和塑造彼此的活动。为了发展这一观点,我们首先根据我们在2014年香港抗议活动(也被称为雨伞运动)期间的参与观察提供了一个简短的方法部分,之后我们回顾了有关中国监控工作的现有文献。然后,我们概述了抗议活动,随后讨论了当地人和警察惊人相似的水平(或横向)监视做法。我们得出的结论是,中国的“网络威权主义”(MacKinnon 2011, 2012)远不是一个完美的控制模式,因为在这个国家存在着许多形式的异议和抵抗,香港的抗议活动就是一个很好的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitory politics, digital surveillance and new protest movements: an analysis of Hong Kong’s Umbrella Movement
: In this article we seek to inject some dynamism and complexity into the current scholarship on digital surveillance. Drawing from ethnographic research in Hong Kong, we argue that digital surveillance is a multi-directional endeavour with top-down, bottom-up and horizontal dimensions. Therefore it cannot be reduced to desktop-down portrayals of an almighty ‘surveillance state’ – not even in advanced surveillance regimes like China’s. Instead we suggest that digital surveillance practices must be set within a much larger, dynamic system we describe as monitory politics , a type of political action in which state and non-state actors surveil and shape one another’s activities across a rapidly changing communicative landscape. To develop this idea, we first provide a brief methodological section based on our participant observation during the 2014 protests in Hong Kong, also known as the Umbrella Movement, after which we review the existing literature on China’s surveillance efforts. We then sketch an account of the protests, followed by a discussion of the uncannily similar horizontal (or lateral) surveillance practices of local people and the police. We conclude that China’s ‘networked authoritarianism’ (MacKinnon 2011, 2012) is far from being a perfect model of control, for numerous forms of dissent and resistance survive in the country, with the Hong Kong protests as a case in point.
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