弥合关键算法研究与社会科学之间的差距

Paul Jonker-Hoffrén
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引用次数: 0

摘要

自2000年代中期以来,平台和平台工作大大激增。尽管对平台和平台的研究也在扩大,但在这些问题上,IT和社会研究之间似乎存在着巨大的鸿沟。在本文中,我将使用社会学家Maurizio Lazzarato的概念,说明平台的技术基础设施,特别是算法,对平台工作人员的工作和代理有直接影响。从这个角度来看,可以从多学科的角度提出关于平台和平台工作的关键问题。从方法论上讲,一种将算法视为文化一部分的民族志方法可以支持不同学科之间的合作,这种方法有自己的制度,对人有影响,并与不同的背景有交集。当这种方法与算法研究的见解相结合时,研究也与现有的关于平台工人劳动力市场地位和平台公司运作的政治问题相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging the gap between critical algorithm studies and the social sciences
Since the mid-2000s platforms and platform work have greatly proliferated. Although also research on platforms and platforms has expanded, there seems to be a great gulf between IT- and social research on these issues. In this article, I show, using sociologist Maurizio Lazzarato’s concepts, that the technical infrastructure of the platform, in particular the algorithm, has a direct impact on work and the agency of the platform worker. From this perspective, it is possible to ask critical questions about platforms and platform work from a multidisciplinary viewpoint. Methodologically, an ethnographic approach that sees algorithms as part of culture, with its own institutions, impact on people and intersection with different contexts, could support co-operation between different disciplines. When such an approach is combined with insights from algorithm studies, research is also relevant for existing political questions regarding platform workers’ labour market status and the functioning of platform firms.
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