AI助群主定规则，但信任与隐私成关键挑战
Creating Group Rules with AI: Human-AI Collaboration in WhatsApp Moderation
- 人机协作设计实验，让群主与Meta AI共拟群规
- AI减轻负担并发现被忽视规则，但响应需契合语境
- 适合关注社交平台治理与人性化AI设计的读者
WhatsApp 是全球最广泛使用的即时通讯平台之一，拥有数十亿用户在私密群组中分享信息。然而，平台缺乏支持群组治理与内容监管的基础设施。在无平台级监督的情况下，群组管理员承担起管理群内行为的责任。本文通过一项两阶段的推测性设计研究，对20名印度群主进行调研，探讨其如何与人工智能助手（Meta AI）协作制定、执行和维护群规。研究考察了参与者与AI互动以共创规则的过程，并测试了一系列展示AI辅助监管功能的模拟场景。结果表明，尽管管理员赞赏AI在识别被忽略规则及减轻管理负担方面的能力，但他们对关系信任、数据隐私、语气表达和社交语境极为敏感。研究发现群类型和管理员风格显著影响其授权意愿，同时揭示当前聊天机器人界面在支持协作式规则制定方面的局限性。最后，论文提出设计启示：未来监管工具应以人类判断、人际关系细微差别、情境适应性和集体治理为核心。
原文摘要 · Abstract (English)
WhatsApp is one of the most widely used messaging platforms globally, with billions of users sharing information in private groups. Yet, it offers little infrastructure to support moderation and group governance. In the absence of platform-level oversight, group admins bear the responsibility of governing group behavior. In this paper, we explore how WhatsApp group admins collaborate with AI tools to create, enforce, and maintain group rules. Drawing on a two-phase speculative design study with 20 admins in India, we examine how participants interacted with an AI assistant (Meta AI) to co-create rules and responded to a series of probes illustrating AI-assisted moderation features. Our findings show that while admins appreciated the AI's ability to surface overlooked rules and reduce their moderation burden, they were highly sensitive to issues of relational trust, data privacy, tone, and social context. We identify how group type and admin style shaped their willingness to delegate authority, and surface the limitations of current chatbot interfaces in supporting collaborative rule-making. We conclude with design implications for building moderation tools that center human judgment, relational nuance, contextual adaptability, and collective governance.
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