Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community
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内容删除作为审核策略：ChangeMyView 社区中的合规性和其他成果
DOI：
10.1145/3359265
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发表时间：
2019
影响因子：
--
通讯作者：
Tan, Chenhao
中科院分区：
文献类型：
--
作者：
Srinivasan, Kumar;Danescu-Niculescu-Mizil, Cristian;Lee, Lillian;Tan, Chenhao
在线社区的版主经常使用评论删除作为工具。我们在这里问，除了保护社区免受不良内容侵害的积极影响之外，删除评论是否真的会改善评论作者的行为？我们在一个特别受监管的社区 ChangeMyView subreddit 中研究这个问题。不幸的是，中断时间序列分析的标准分析方法无法回答这个因果关系问题，因为它无法区分发表不合规评论的影响和被版主删除该评论的影响。因此，我们根据观察发现某些用户可能在发布不合规评论和删除该评论之间保持活跃状态，从而利用“延迟反馈”方法。将这种方法应用于此类用户，我们揭示了评论删除在降低立即不合规率方面的因果作用，尽管我们没有发现它在诱导其他行为改善方面具有因果作用的证据。因此，我们的工作从经验上证明了内容删除作为一种积极的调节策略的前景和一些潜在的限制，并指出了从观察数据中识别因果效应的未来方向。
Moderators of online communities often employ comment deletion as a tool. We ask here whether, beyond the positive effects of shielding a community from undesirable content, does comment removal actually cause the behavior of the comment's author to improve? We examine this question in a particularly well-moderated community, the ChangeMyView subreddit.The standard analytic approach of interrupted time-series analysis unfortunately cannot answer this question of causality because it fails to distinguish the effect of having made a non-compliant comment from the effect of being subjected to moderator removal of that comment. We therefore leverage a "delayed feedback" approach based on the observation that some users may remain active between the time when they posted the non-compliant comment and the time when that comment is deleted. Applying this approach to such users, we reveal the causal role of comment deletion in reducing immediate noncompliance rates, although we do not find evidence of it having a causal role in inducing other behavior improvements. Our work thus empirically demonstrates both the promise and some potential limits of content removal as a positive moderation strategy, and points to future directions for identifying causal effects from observational data.