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On the Personality Traits of StackOverflow Users

机译:关于StackOverflow用户的个性特征

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In the last decade, developers have been increasingly sharing their questions with each other through Question and Answer (Q&A) websites. As a result, these websites have become valuable knowledge repositories, covering a wealth of topics related to particular programming languages. This knowledge is even more useful as the developer community evaluates both questions and answers through a voting mechanism. As votes accumulate, the developer community recognizes reputed members and further trusts their answers. In this paper, we analyze the community's questions and answers to determine the developers' personality traits, using the Linguistic Inquiry and Word Count (LIWC). We explore the personality traits of Stack Overflow authors by categorizing them into different categories based on their reputation. Through textual analysis of Stack Overflow posts, we found that the top reputed authors are more extroverted compared to medium and low reputed users. Moreover, authors of up-voted posts express significantly less negative emotions than authors of down-voted posts.
机译:在过去的十年中,开发人员通过问答(Q&A)网站越来越多地分享他们的问题。因此,这些网站已成为有价值的知识库库,涵盖与特定编程语言相关的大量主题。这种知识甚至更有用,因为开发人员社区通过投票机制评估问题和答案。作为投票累积,开发人员社区承认知名人员并进一步信任他们的答案。在本文中,我们使用语言查询和字数(LIWC)分析社区的问题和答案以确定开发人员的人格特质。根据他们的声誉,我们探索堆栈溢出作者的个性特征。通过对堆栈溢出帖子的文本分析,我们发现,与中低信任用户相比,顶级知名作者更自动。此外,上班职位的作者显着较低的负面情绪,而不是下投票的职位作者。

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