The open-source community uses the GitHub platform to exchange and share software applications and services of interest. This paper aims to identify the open-source community's interest in gender-related projects on GitHub. Our findings create research opportunities and identify resources by the open-source community that promote diversity, equity, and inclusion. We use data mining to identify GitHub projects that focus on gender-related topics. We apply quantitative and qualitative methodologies to examine the projects' attributes and to classify them within a gender social structure and a gender bias taxonomy. We aim to understand the open-source community's efforts and interests in gender topics through active projects. In this paper, we report on a preponderance of projects focusing on specific gender topics and identify those with a narrow focus. We examine projects focusing on gender bias and how they address this non-inclusive behaviour. Results show a propensity of GitHub projects focusing on recognising and detecting an individual's gender and a dearth of projects concentrating on the cultural expectations placed on women and men. In the gender bias domain, the projects mainly focus on occupational biases. These findings raise opportunities to address the limited focus of GitHub on gender-related topics through developing projects that mitigate exclusive behaviours.
翻译:本文旨在识别GitHub上社群对于与性别相关的项目的兴趣。我们的研究结果可以为推广多样性、平等与包容性的资源提供学术研究机会。我们使用数据挖掘技术识别关于性别相关话题的GitHub项目。通过数量和质量方面的分析分类它们在性别社会结构和性别偏见分类中。我们希望通过活跃项目了解GitHub社群在性别主题方面的努力和兴趣。在本文中,我们报告了项目集中于特定性别主题的趋势,并且在一些少数的项目中我们检查了这些专注性的原因。我们研究关注性别偏见的项目及其如何解决这些不包容性的行为。结果表明GitHub上关注性别的项目主要集中于识别和检测个体的性别,而在解决女性和男性所面临的文化期望方面,项目相对较少。在关注性别偏见方面,项目基本上集中于职业歧视。这些发现提供了机会,通过开发项目来缓解这些排外性,从而增加GitHub对于与性别相关的话题的关注。