Stack overflow's hidden nuances: How does zip code define user contribution?

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2025-02-10 DOI:10.1016/j.jss.2025.112374
Elijah Zolduoarrati, Sherlock A․ Licorish, Nigel Stanger
{"title":"Stack overflow's hidden nuances: How does zip code define user contribution?","authors":"Elijah Zolduoarrati,&nbsp;Sherlock A․ Licorish,&nbsp;Nigel Stanger","doi":"10.1016/j.jss.2025.112374","DOIUrl":null,"url":null,"abstract":"<div><div>Online communities like Stack Overflow rely on collective intelligence, with developers often incorporating its code snippets within their software repositories. Despite this relevance, concerns remain regarding issues surrounding user participation within the platform. While these phenomena have been studied in isolation, literature investigating them under a unified lens remain scarce. Our work aims to bridge this gap by operationalising metrics to represent user participation, behaviour, and community value across US states and cities. Our findings show that users from rural states tend to have higher daily posts, more votes, and produce more readable, positive-toned content with fewer typos. Those from urbanised states nonetheless obtain more question favourites, post scores, and accrue more views to both their questions and their profiles. At the city level, users from cities with prominent R&amp;D sectors were found to curate more content and engage more actively, while cities without a strong tech presence show higher disengagements, increased likelihood of lurking, and a tendency to write longer code snippets. Qualitative content analysis triangulates our findings where users from tech hubs favour technical jargon and collaborative knowledge-sharing, their posts buzzing with coding documentations, debugging pointers, and personal anecdotes. In contrast, rural users weave a tapestry of emotions, expressing hope, frustration, and contentment alongside their many questions. Our research uncovers a dynamic interplay between factors influencing user participation, behaviour, and community values. Rather than static dichotomies, these elements exhibit multifaceted influences, suggesting varying impacts from diverse factors like tech access, educational initiatives, and inherent behavioural tendencies.</div></div>","PeriodicalId":51099,"journal":{"name":"Journal of Systems and Software","volume":"223 ","pages":"Article 112374"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Software","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164121225000421","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Online communities like Stack Overflow rely on collective intelligence, with developers often incorporating its code snippets within their software repositories. Despite this relevance, concerns remain regarding issues surrounding user participation within the platform. While these phenomena have been studied in isolation, literature investigating them under a unified lens remain scarce. Our work aims to bridge this gap by operationalising metrics to represent user participation, behaviour, and community value across US states and cities. Our findings show that users from rural states tend to have higher daily posts, more votes, and produce more readable, positive-toned content with fewer typos. Those from urbanised states nonetheless obtain more question favourites, post scores, and accrue more views to both their questions and their profiles. At the city level, users from cities with prominent R&D sectors were found to curate more content and engage more actively, while cities without a strong tech presence show higher disengagements, increased likelihood of lurking, and a tendency to write longer code snippets. Qualitative content analysis triangulates our findings where users from tech hubs favour technical jargon and collaborative knowledge-sharing, their posts buzzing with coding documentations, debugging pointers, and personal anecdotes. In contrast, rural users weave a tapestry of emotions, expressing hope, frustration, and contentment alongside their many questions. Our research uncovers a dynamic interplay between factors influencing user participation, behaviour, and community values. Rather than static dichotomies, these elements exhibit multifaceted influences, suggesting varying impacts from diverse factors like tech access, educational initiatives, and inherent behavioural tendencies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
期刊最新文献
Architectural tactics to achieve quality attributes of machine-learning-enabled systems: a systematic literature review Editorial Board Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming Stack overflow's hidden nuances: How does zip code define user contribution? Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1