Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910320032743424 |
|---|---|
| author | Ehsani, Ramtin Imran, Mia Mohammad Zita, Robert Damevski, Kostadin Chatterjee, Preetha |
| author_facet | Ehsani, Ramtin Imran, Mia Mohammad Zita, Robert Damevski, Kostadin Chatterjee, Preetha |
| contents | In the dynamic landscape of open source software (OSS) development, understanding and addressing incivility within issue discussions is crucial for fostering healthy and productive collaborations. This paper presents a curated dataset of 404 locked GitHub issue discussion threads and 5961 individual comments, collected from 213 OSS projects. We annotated the comments with various categories of incivility using Tone Bearing Discussion Features (TBDFs), and, for each issue thread, we annotated the triggers, targets, and consequences of incivility. We observed that Bitter frustration, Impatience, and Mocking are the most prevalent TBDFs exhibited in our dataset. The most common triggers, targets, and consequences of incivility include Failed use of tool/code or error messages, People, and Discontinued further discussion, respectively. This dataset can serve as a valuable resource for analyzing incivility in OSS and improving automated tools to detect and mitigate such behavior. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_04183 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads Ehsani, Ramtin Imran, Mia Mohammad Zita, Robert Damevski, Kostadin Chatterjee, Preetha Software Engineering In the dynamic landscape of open source software (OSS) development, understanding and addressing incivility within issue discussions is crucial for fostering healthy and productive collaborations. This paper presents a curated dataset of 404 locked GitHub issue discussion threads and 5961 individual comments, collected from 213 OSS projects. We annotated the comments with various categories of incivility using Tone Bearing Discussion Features (TBDFs), and, for each issue thread, we annotated the triggers, targets, and consequences of incivility. We observed that Bitter frustration, Impatience, and Mocking are the most prevalent TBDFs exhibited in our dataset. The most common triggers, targets, and consequences of incivility include Failed use of tool/code or error messages, People, and Discontinued further discussion, respectively. This dataset can serve as a valuable resource for analyzing incivility in OSS and improving automated tools to detect and mitigate such behavior. |
| title | Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2402.04183 |