Solidarity and collective issues in remote crowd work: A mixed methods study of the Amazon Mechanical Turk online forum
通过分析亚马逊土耳其机器人论坛十年数据，发现众包工人围绕困境、集体取向和不公正框架形成团结元素，但缺乏深层集体活动，揭示了远程平台劳动中动员的局限。
Abstract The article deals with collective issues and emerging forms of solidarity in remote crowd work. Using the example of the Amazon Mechanical Turk platform, we analyse communication in one of the oldest online labour forums (OLF) with a mixed‐methods‐approach (web scraping, topic modelling and qualitative content analysis) over a 10‐year period. We identify six broader themes of collective relevance whose importance varies over time. The results indicate that elements of solidarity emerge as crowd workers communicate about deprivations, develop collective orientations, and invoke injustice frames. However, there are no indications of more profound collective activities, which may be due to different types of crowd workers, some of whom have conflicting orientations. We develop assumptions about restrictions of OLF in facilitating collective action and tasks for organisers. The research contributes to a better understanding of mobilisation issues in remote platform labour.