Algorithms are seen as effective for managing workers. Literature focuses mainly on the functioning and impact of algorithmic control on workers' experiences and conditions. The ways in which platform workers have organised collectively to regain control have received far less scholarly attention. This paper addresses this gap by making sense of the mobilisation dynamics of two platform-work categories: crowdwork (Amazon Mechanical Turk) and work on-demand (food-delivery couriers). These are salient mobilisation cases, as these workers have resisted algorithmic control by adopting specific organising modes, action repertoires and collective solidarities. By analysing a combination of extant literature and policy reports concerning each category of mobilisation forms at a global level over 5 years, the study elucidates why and how these workers were able to act without the involvement of traditional trade unions by showing that specific supportive communities and political activism traditions were crucial in the rise and variety of mobilisation.

中文翻译：

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抵制算法控制：了解平台工人动员的兴起和多样性

算法被认为可以有效地管理员工。文献主要关注算法控制对工人经验和条件的作用和影响。平台工人集体组织起来重新获得控制权的方式受到的学术关注要少得多。本文通过理解两个平台工作类别的动员动态来解决这一差距：众包工作 ( Amazon Mechanical Turk) 和按需工作（送餐快递员）。这些都是突出的动员案例，因为这些工人通过采用特定的组织模式、行动计划和集体团结来抵制算法控制。通过分析 5 年来全球范围内有关各类动员形式的现有文献和政策报告的组合，该研究阐明了这些工人为何以及如何能够在没有传统工会参与的情况下采取行动，表明特定的支持社区和政治激进主义传统对于动员的兴起和多样化至关重要。