一句话：通过对100个GitHub issue讨论的定性分析，揭示开源社区毒性的独特表现形式与作者构成。
在线毒性普遍存在，但开源社区中的毒性虽常被讨论，其特征仍缺乏系统理解。本文旨在刻画开源毒性的特征，为设计有效的干预与检测方法提供依据。作者结合多种搜索与采样策略，构建了包含100个毒性GitHub issue讨论的样本，并对样本进行定性分析。研究发现，开源社区中普遍存在的毒性形式不同于Reddit或Wikipedia等平台：最常见的包括项目用户发出的自以为是、命令式和高傲的评论，以及由技术分歧引发的侮辱。此外，毒性并非只来自项目外部人员，项目成员也是常见的毒性作者。作者讨论了这些发现对后续检测与干预工作的启示。
Online toxicity is ubiquitous across the internet and its negative impact on the people and that online communities that it effects has been well documented. However, toxicity manifests differently on various platforms and toxicity in open source communities, while frequently discussed, is not well understood. We take a first stride at understanding the characteristics of open source toxicity to better inform future work on designing effective intervention and detection methods. To this end, we curate a sample of 100 toxic GitHub issue discussions combining multiple search and sampling strategies. We then qualitatively analyze the sample to gain an understanding of the characteristics of open-source toxicity. We find that the pervasive forms of toxicity in open source differ from those observed on other platforms like Reddit or Wikipedia. In our sample, some of the most prevalent forms of toxicity are entitled, demanding, and arrogant comments from project users as well as insults arising from technical disagreements. In addition, not all toxicity was written by people external to the projects; project members were also common authors of toxicity. We also discuss the implications of our findings. Among others we hope that our findings will be useful for future detection work.