算法已经成为当今世界的一个文化逻辑，但由于算法技术的结构性隐匿，关于算法的知识被框定为系统的纯粹技术性专业知识，忽视了对算法的社会性解释。在与用户对算法的感知研究和知识社会学的学术对话中，本研究概念化了“算法的社会性知识”，用以指涉与技术性算法知识相对的、在算法结构化的社交媒体中由用户集体建构的与算法有关的本土化问题解释。通过对短视频内容创作者进行的数码和实地民族志，本研究揭示了算法知识片段从算法-用户互动的具体日常情境中涌现的过程及其类型。这些局部的知识片段通过“私密验证”的方式进行关系性的拼贴，在松散的民间算法知识社群中被集体建构为“算法的社会性知识”。“算法的社会性知识”作为社会性的，而非认知性的实践知识，指导人们协商与算法的关系以导向应对算法的行动策略，并因此被纳入到算法的递归反馈回路之中，随不稳定的算法生态而快速变动。

Algorithm has become a cultural logic in today’s world. Due to the structural concealment of algorithm technology, the algorithmic knowledge is framed as pure technical expertise of the system, which ignores the social interpretation of algorithm. In a dialogue with previous studies on user perception of algorithms and the sociology of knowledge, this study conceptualizes “algorithmic social knowledge” to refer to the interpretation of algorithm-related problems that users collectively construct in algorithm-structured social media, as opposed to technical algorithmic knowledge. Through the online and offline ethnography of short-video content creators, this study reveals the process by which algorithmic knowledge fragments emerge from specific everyday situations of algorithm-user interaction, where these fragments can be distinguished as operational and prescriptive. These algorithmic knowledge fragments are collaged in relation by means of “private verification”, and are collectively constructed as “algorithmic social knowledge” in the loose folk algorithmic knowledge community. “Algorithmic social knowledge”, as social rather than cognitive knowledge, guides people to negotiate the relationship with the algorithm to develop the action strategy. Therefore, it is incorporated into the recursive feedback loop of the algorithm and changes rapidly with the whole unstable algorithm ecology.