短暂的信息流与持久的仪式：RushTok 与基于事件的算法社群的形成

中文摘要 AI 辅助

每年八月，TikTok 的“为你推荐”页面将阿拉巴马大学的女生联谊会招募活动转变为 RushTok。我们将 RushTok 视为一种基于事件的算法社群：一个围绕有界线下仪式聚集并由推荐算法维持的集体。通过一项混合方法调查（n=71）和对创作者外联的反思性记录，我们探究谁参与、如何参与以及参与的利益所在。研究结果显示出一条模糊且以娱乐为主线的脉络；许多人称其为社群（51/71），但很少有人声称自己是成员（11/71）。归属感以创作者而非共享实践为中心，准社会性关注集中在一小群潜在新成员（PNMs）和回归人物身上。更高的内容曝光度与自我认同为社群成员相关；这些成员发表评论、关注创作者并跨视频参与互动。尝试采访创作者时遭遇沉默或拒绝，这反映了尽管病毒式可见，社群边界工作依然存在。我们概述了对平台治理的启示，包括时间有界的情境、渐进式可见性和事后关怀。

英文摘要

Each August, TikTok's For You page turns the University of Alabama's sorority recruitment into RushTok. We examine RushTok as an event-based algorithmic community: a collective assembled around a bounded offline ritual and sustained by recommendation. Using a mixed-methods survey (n=71) and a reflexive account of creator outreach, we ask who participates, how, and with what stakes. Findings show an ambiguous and entertainment based throughline; many called it a community (51/71) but few claimed membership (11/71). Affiliation centered on creators rather than shared practices, with parasocial attention clustering around a small set of potential new members (PNMs) and returning figures. Higher content exposure tracked with self-identification as a community member; those members commented, followed creators, and engaged across videos. Attempts to interview creators were met with silence or refusals, reflecting community boundary-work despite viral visibility. We outline implications for platform governance, including time-bounded context, graduated visibility, and aftercare.

发表机构

• University of Notre Dame（圣母大学）

机构由 AI 辅助整理，请以论文原文为准。