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“Bodies not templates”: Contesting dominant algorithmic imaginaries
New Media & Society ( IF 4.5 ) Pub Date : 2021-02-25 , DOI: 10.1177/1461444820929316
Becky Kazansky , Stefania Milan 1
Affiliation  

Through an array of technological solutions and awareness-raising initiatives, civil society mobilizes against an onslaught of surveillance threats. What alternative values, practices, and tactics emerge from the grassroots which point toward other ways of being in the datafied society? Conversing with critical data studies, science and technology studies, and surveillance studies, this article looks at how dominant imaginaries of datafication are reconfigured and responded to by groups of people dealing directly with their harms and risks. Building on practitioner interviews and participant observation in digital rights events and surveying projects intervening in three critical technological issues of our time—the challenges of digitally secure computing, the Internet of Things, and the threat of widespread facial recognition—this article investigates social justice activists, human rights defenders, and progressive technologists as they try to flip dominant algorithmic imaginaries. In so doing, the article contributes to our understanding of how individuals and social groups make sense of the challenges of datafication from the bottom-up.



中文翻译:

“不是模板的实体”:竞争占主导地位的算法虚构

通过一系列技术解决方案和提高认识的举措,民间社会动员起来抵抗监视威胁的猛烈袭击。从基层出现了哪些替代价值,实践和策略,它们指向数据化社会中的其他存在方式?在与关键数据研究,科学技术研究和监视研究进行对话时,本文着眼于如何重新配置​​数据假想的假想,并由直接处理其危害和风险的人群做出响应。建立在对数字版权事件的从业者访谈和参与者观察以及调查项目中介入我们这个时代的三个关键技术问题的基础上,这些问题涉及数字安全计算,物联网,以及广泛的面部识别的威胁-本文研究了社会正义活动家,人权捍卫者和进步的技术专家,他们试图颠覆主流算法的想象力。这样,本文有助于我们理解个人和社会团体如何自下而上地理解数据传播的挑战。

更新日期:2021-02-25
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