一句话：通过定性分析 GitHub 开源 issue 讨论中的毒性互动，理解其对社区参与和倦怠的影响，为干预设计提供依据。
本文研究开源社区 issue 讨论中的毒性在线互动。作者关注用户因毒性而倦怠并退出 GitHub 等现象，旨在定性理解毒性如何影响开源社区。研究收集了较大规模的毒性互动样本，并对其特征进行定性分析。该工作并不提出自动化检测或干预系统，而是通过经验性、情境化的理解，为未来关于开源社区毒性的讨论和干预设计奠定基础。
In this paper, we study toxic online interactions in issue discussions of open-source communities. Our goal is to qualitatively understand how toxicity impacts an open-source community like GitHub. We are driven by users complaining about toxicity, which leads to burnout and disengagement from the site. We collect a substantial sample of toxic interactions and qualitatively analyze their characteristics to ground future discussions and intervention design.
DOI 原文 ·
@inproceedings{paperbot6332,
title = {Contextualizing toxicity in open source: a qualitative study},
author = {Sophie Cohen},
booktitle = {FSE},
year = {2021},
doi = {10.1145/3468264.3473492}
}