Does Transparency in Moderation Really Matter?
Does Transparency in Moderation Really Matter?
复制标题
适度的透明度真的很重要吗？
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Eric Gilbert
中科院分区：
文献类型：
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作者：
Shagun Jhaver;A. Bruckman;Eric Gilbert
当帖子在社交媒体平台上被删除时，用户可能会也可能不会收到解释。提供了什么样的解释？这些解释重要吗？使用3200万个Reddit帖子的样本，我们描述了向Redditors提供的删除解释，并将它们与后续用户行为的度量相关联-包括未来的帖子提交和未来的帖子删除。采用主题建模的方法，我们表明，删除的解释往往提供信息，教育用户的社会规范的社会，从而（理论上）准备他们成为一个富有成效的成员。我们建立回归模型，显示删除解释在未来的用户活动中发挥作用的证据。最重要的是，我们表明，提供内容审核的解释降低了未来帖子删除的几率。此外，由人类主持人提供的解释与机器人提供的解释相比，在减少未来的帖子删除方面没有显着优势。我们提出了设计解决方案，可以促进解释机制的有效使用，反映了自动化的审核工具如何有助于这个空间。总的来说，我们的研究结果表明，在适度的做法中，移除解释可能没有得到充分利用，社区管理者投入时间和资源来提供这些解释可能是值得的。
When posts are removed on a social media platform, users may or may not receive an explanation. What kinds of explanations are provided? Do those explanations matter? Using a sample of 32 million Reddit posts, we characterize the removal explanations that are provided to Redditors, and link them to measures of subsequent user behaviors---including future post submissions and future post removals. Adopting a topic modeling approach, we show that removal explanations often provide information that educate users about the social norms of the community, thereby (theoretically) preparing them to become a productive member. We build regression models that show evidence of removal explanations playing a role in future user activity. Most importantly, we show that offering explanations for content moderation reduces the odds of future post removals. Additionally, explanations provided by human moderators did not have a significant advantage over explanations provided by bots for reducing future post removals. We propose design solutions that can promote the efficient use of explanation mechanisms, reflecting on how automated moderation tools can contribute to this space. Overall, our findings suggest that removal explanations may be under-utilized in moderation practices, and it is potentially worthwhile for community managers to invest time and resources into providing them.