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Do Biases Related to Geographical Location Influence Work-Related Decisions in GitHub?

机译:与地理位置相关的偏见是否影响GitHub中与工作相关的决策?

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Visible demographic characteristics are seen as elements of bias in offline work environments. In this study, we investigate the influence of the geographical location on the evaluation of pull requests in GitHub - the most popular online collaborative code development environment. We use a mixed-methods approach and present analyses of 70,000+ pull requests and 2,500+ survey responses. Quantitative analysis of GitHub projects' data suggests that the geographical location significantly explains the pull request acceptance decisions. These observations are in agreement with the perceptions of submitters based on their experiences with bias. Integrators feel that it is easy to work with contributors from the same geographical location and that they encourage contributors from the same geographical location. However, integrators do not feel that contributors from some countries are better at writing pull requests compared to others.
机译:可见的人口特征被视为离线工作环境中偏见的要素。在这项研究中,我们调查了地理位置对GitHub(最流行的在线协作代码开发环境)中请求请求评估的影响。我们使用一种混合方法的方法,并分析了70,000多个请求请求和2,500多个调查响应。对GitHub项目数据的定量分析表明,地理位置极大地解释了拉取请求的接受决策。这些观察结果与提交者基于其偏见的看法相一致。集成商认为与来自相同地理位置的贡献者合作很容易,并且他们鼓励来自相同地理位置的贡献者。但是,集成商并不认为某些国家的贡献者比其他国家的编写者更擅长编写请求请求。

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