报告题目：When Moderation Spills Over: The Double-Edged Effects on User-Generated Content
报告人：Luna Zhang 张星玥
报告时间：2026年6月3日（周三）上午 10：00
报告地点：明哲楼517
主办单位：东北财经大学现代供应链管理研究院
【报告人简介】
张星玥副教授的研究领域涵盖消费者行为、移动商务、平台经济、收入分成机制、商业分析、大规模数据分析以及信息系统与运营管理交叉领域。她目前的研究项目聚焦于移动商务环境下的消费者搜索与购买行为，以及平台经济中的收益分配机制。其研究成果已发表于《Management Science》、《Production and Operations Management》及《Information & Management》等顶级学术期刊。
张星玥副教授曾荣获“2021年信息系统与技术会议（CIST）最佳论文奖”。在华盛顿大学塔科马分校任教期间，她于2023年获得“杰出研究奖”，并于2020年荣获学生评选“杰出教师奖”。作为指导老师，她带领分析创新（A.I.）学生俱乐部荣获2020年“INFORMS学生分会年度优秀奖（Cum Laude）”。此外，西雅图女子足球俱乐部（Seattle Reign FC）授予她“OL Reign & Starbucks 传奇人物”称号。
此前，张老师曾在理海大学（Lehigh University）讲授《信息系统导论》、《供需链规划》以及《货币、银行与金融市场》等课程。目前，她在本科、商业分析理学硕士（MSBA）及MBA项目中教授分析与运营管理相关课程。
【报告摘要】
Social media moderation encompasses platform actions intended to enforce community norms and mitigate harmful behaviors online. While prior research has primarily focused on the direct effects of moderation on moderated content and its creators, limited attention has been paid to the potential spillover effects of moderation on unmoderated content. In this study, we exploit a temporary shutdown of the commenting function on a large social Q&A platform, during which the platform conducted opaque comment moderation, to investigate the spillover effects of comment moderation on subsequent answer generation. Using a differences-in-differences approach combined with propensity score matching, we find that comment moderation significantly decreases the volume of subsequent answers, particularly regular answers rather than harmful answers. Meanwhile, moderation surprisingly improves the helpfulness of subsequent answers. Mechanism analyses reveal that these effects are more pronounced for opinion-oriented and highly popular questions than for professional-oriented and niche questions. Further analyses show that moderation leads to longer, more concrete, and more similar answers. We interpret these findings through the lenses of chilling effects and loss aversion among content contributors on the supply side. On the demand side, moderation reduces users’ incentives to consume platform content, which in turn dampens subsequent answer generation. Our findings suggest that well-intended moderation may unintentionally suppress user participation and content contribution yet improve the helpfulness of user-generated content, highlighting important trade-offs in platform governance and content moderation practices.
