There are three common stages in the moderation process employed by platforms like Reddit: rule creation, reporting/triaging, and report resolution. While the first two stages are well-studied in HCI, the third stage remains under-explored. Directly observing report resolution is challenging, since it requires using invasive tracking tools that moderators may feel uncomfortable with. However, evaluating the current state of this stage is crucial to improve moderation outcomes, especially as online communities continue to grow. In this paper, we present a non-invasive methodology to study report resolution via modeling and simulations. Using agent-based modeling, we analyze the performance of report resolution on Reddit using theory-driven measures and use our results to motivate interventions. We then highlight potential improvements that can be gained by adopting these interventions. We conclude by discussing how modeling and simulations can be used to navigate processes like report resolution and inform the design of new moderation interventions.

翻译：Reddit等平台采用的审核流程通常包含三个阶段：规则制定、举报/分类和举报处理。尽管人机交互领域对前两个阶段已有深入研究，但第三个阶段仍缺乏充分探索。直接观察举报处理过程具有挑战性，因为这需要使用侵入式追踪工具，可能引起审核人员的不适。然而，随着在线社区的持续扩张，评估当前举报处理阶段的现状对于改善审核效果至关重要。本文提出一种通过建模与仿真研究举报处理机制的非侵入式方法。基于智能体建模技术，我们运用理论驱动指标分析Reddit举报处理效能，并依据研究结果提出改进方案。随后我们重点阐述了实施这些改进方案可能带来的潜在效益。最后，我们探讨了如何运用建模与仿真技术来优化举报处理等流程，并为新型审核干预措施的设计提供理论依据。