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Preprint (Author's original)arXiv.org - Non-exclusive license to distribute, Open
Preprint
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
arXiv.org
06 Feb 2024
Abstract
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.
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Details
- Title
- Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
- Creators
- Ramtin EhsaniMia Mohammad ImranRobert ZitaKostadin DamevskiPreetha Chatterjee
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Computer Science; College of Computing and Informatics
- Other Identifier
- 991021883914104721