Resisting the algorithm: exploring the performance of everyday algorithmic resistance in contemporary society.

抵制算法：探索当代社会中日常算法抵制的表现。

• 批准号: 2879080
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2879080
• 关键词: Resisting; algorithm; exploring; performance; everyday

Suggesting that algorithms are everywhere in a modern, neoliberal society is a matter of stating theobvious. They are increasingly embedded in everyday life, utilised to make decisions in finance (Allen, 2020), education (The Verge, 2020), justice and law (Eubanks, 2017) as well as advertising and marketing(Benjamin, 2019). Algorithms, therefore, seem to have bled into every aspect of culture through their facility to give parameters to what we are able to do, see, and ultimately, think. This project departs from the prevailing focus on algorithmic design and its effects, as seen in the critical literature, and builds upon an aperture first identified in my MA dissertation (74) to ask: what forms of resistance to algorithms are emerging in contemporary society?

在现代新自由主义社会中，算法无处不在，这是一个显而易见的问题。它们越来越多地嵌入日常生活中，用于在金融（艾伦，2020），教育（边缘，2020），司法和法律（尤班克斯，2017）以及广告和营销（本杰明，2019）中做出决策。因此，算法似乎已经流血的到文化的各个方面，通过它们的设施为我们能够做什么、看到什么以及最终思考什么提供参数。这个项目偏离了对算法设计及其影响的普遍关注，正如在批判性文献中所看到的那样，并建立在我的硕士论文（74）中首次确定的一个光圈上，问：当代社会中出现了什么形式的对算法的抵制？