arXiv cs.AI· Zhiyi Zhou, Kyrie Zhou·· 14 小时前AI 评分18
小红书用户如何归因受众变化并管理社区边界
Making Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu
AI 导读
研究分析小红书 8 个高互动帖子下 262 条评论，考察用户如何归因世界杯带来的受众涌入。在 70 条明确给出归因与策略的评论中，归因与边界管理策略强相关（Cramer's V = .583）：算法归因多对应技术性边界管理，社会行动者归因则更多对应社会执行或规范性社会化。
正文 · 原文
Abstract:Recommendation-driven platforms can reshape not only what users see, but also who becomes visible and how community boundaries are negotiated. We examine Xiaohongshu discussions surrounding a perceived World Cup-related audience influx to understand how users attributed community change and how those explanations related to boundary-management strategies. We analyzed 262 comments from eight high-engagement threads using researcher-led thematic analysis, structured coding, and permutation-based association analysis. Users described personalization as both social separation and a boundary that could fail, interpreted platform growth through audience acquisition and commercialization, and contested whether gender should define community membership. Among 70 comments with explicit attributions and strategies, attribution and strategy were strongly associated (Cramer's V = .583): algorithmic attributions concentrated in technical boundary management, while social-actor attributions more often aligned with social enforcement or normative socialization. These findings connect causal sensemaking with boundary management and show how audience restructuring can create governance consequences on recommendation-driven platforms.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.38026 [cs.HC] |
| (or arXiv:2610.38026v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38026 arXiv-issued DOI via DataCite |
Submission history
From: Kyrie Zhou [view email]
[v1]
Tue, 27 Oct 2026 22:23:53 UTC (1,048 KB)
来源：arXiv cs.AI · arxiv.org