Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to explore how users within communities could develop a collective understanding of algorithms and organize collective algorithmic actions. Through a two-year ethnography of online fan activities, this study investigates 43 core fans who always organize large-scale fans collective actions and their corresponding general fan groups. This study aims to reveal how these core fans mobilize millions of general fans through collective algorithmic actions. These core fans reported the rhetorical strategies used to persuade general fans, the steps taken to build a collective understanding of algorithms, and the collaborative processes that adapt collective actions across platforms and cultures. Our findings highlight the key factors that enable computer-supported collective algorithmic actions and extend collective action research into the large-scale domain targeting algorithms.

翻译：先前的研究关注用户如何策略性地理解并有意识地与算法互动，但主要集中在个体层面，难以探究社群内的用户如何发展对算法的集体理解并组织集体算法行动。通过对线上粉丝活动为期两年的民族志研究，本研究调查了43名始终组织大规模粉丝集体行动的核心粉丝及其对应的普通粉丝群体。本研究旨在揭示这些核心粉丝如何通过集体算法行动动员数百万普通粉丝。这些核心粉丝报告了用于说服普通粉丝的修辞策略、构建算法集体理解所采取的步骤，以及跨平台和文化调整集体行动的协作过程。我们的研究结果揭示了促成计算机支持的集体算法行动的关键因素，并将集体行动研究扩展至以算法为目标的大规模领域。