论文标题
设计用于创建者主导的评论审核的单词过滤工具
Designing Word Filter Tools for Creator-led Comment Moderation
论文作者
论文摘要
以内容创建者为中心的在线社交平台通常允许对内容进行评论，创作者会在其中收到他们收到的评论。由于创作者可以面对大量的评论，其中一些评论骚扰或仇恨，平台通常会为创建者提供诸如单词过滤器之类的工具，以使创建者自动化审核的各个方面。从需要与19位创作者的有关使用现有工具的访谈进行访谈，我们发现他们在编写良好的过滤器以及组织和重新审视过滤器方面努力，因为难以确定过滤器的实际捕获。为了解决这些问题，我们提出了FilterBuddy，该系统支持创建新过滤器或从现有过滤器列表中构建以及组织过滤器并可视化随着时间的推移捕获的评论的系统。我们对YouTube创建者进行了对Filterbuddy的早期评估，发现参与者不仅将Filterbuddy视为适度工具，而且还将其组织评论以更好地了解他们的受众。
Online social platforms centered around content creators often allow comments on content, where creators moderate the comments they receive. As creators can face overwhelming numbers of comments, with some of them harassing or hateful, platforms typically provide tools such as word filters for creators to automate aspects of moderation. From needfinding interviews with 19 creators about how they use existing tools, we found that they struggled with writing good filters as well as organizing and revisiting their filters, due to the difficulty of determining what the filters actually catch. To address these issues, we present FilterBuddy, a system that supports creators in authoring new filters or building from existing filter lists, as well as organizing their filters and visualizing what comments are captured over time. We conducted an early-stage evaluation of FilterBuddy with YouTube creators, finding that participants see FilterBuddy not just as a moderation tool, but also a means to organize their comments to better understand their audiences.
