为何应删除这篇条目？多语言维基百科编辑讨论中的透明立场检测
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
AI总结：
针对在线平台内容审核不透明且维基多语言编辑讨论中政策提及率低的问题，构建含编辑立场、理由及对应政策的三语言维基编辑讨论数据集，实现立场与政策的高准确率联合预测，并开源模型和数据集以支撑透明化自动内容审核研究。
摘要：
在线平台的内容审核通常缺乏透明度。但在维基百科上，这类讨论是公开开展的，且鼓励编辑者将内容审核政策作为做出审核决策的解释依据。目前，仅有少数评论明确提及这些政策——英文评论占20%，而德语和土耳其语评论仅占2%。为帮助理解内容审核的运作过程，我们构建了一个全新的多语言维基百科编辑讨论数据集，涵盖三种语言的相关推理内容。该数据集包含每个编辑决策对应的编辑者立场（保留、删除、合并、评论）、所述理由以及一项内容审核政策。我们证明，立场及对应的理由（政策）可被联合预测，且准确率较高，为决策过程增添了透明度。我们同时发布了联合预测模型和多语言内容审核数据集，以供自动化透明内容审核方向的进一步研究使用。
英文摘要：
The moderation of content on online platforms is usually non-transparent. On Wikipedia, however, this discussion is carried out publicly and the editors are encouraged to use the content moderation policies as explanations for making moderation decisions. Currently, only a few comments explicitly mention those policies -- 20% of the English ones, but as few as 2% of the German and Turkish comments. To aid in this process of understanding how content is moderated, we construct a novel multilingual dataset of Wikipedia editor discussions along with their reasoning in three languages. The dataset contains the stances of the editors (keep, delete, merge, comment), along with the stated reason, and a content moderation policy, for each edit decision. We demonstrate that stance and corresponding reason (policy) can be predicted jointly with a high degree of accuracy, adding transparency to the decision-making process. We release both our joint prediction models and the multilingual content moderation dataset for further research on automated transparent content moderation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
