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The diffusion of information about open-source projects is a key factor influencing the adoption of projects and the allocation of developer efforts. Developers learn about new projects, and evaluate their quality and importance by accessing the related information. Social media is an important channel for information diffusion about open-source projects, with previous research suggesting the existence of a social media ecosystem that consists of multiple platforms and collectively supports information diffusion in open source. With different features supporting information diffusion, the same piece of information likely reaches different developer communities on different platforms, which attracts the attention and contribution of different developers and thus influences the success of open-source projects. Despite its importance, few works looked at the identity of the developer community that projectrelated information reaches on social media platforms and its associated impact on the discussed project. In this work, we track social media discussions on open-source projects on three different platforms: Twitter, HackerNews, and Reddit. We first describe the dynamics of project-related information diffusion across platforms, and we analyze the association between the number of posts on each platform, and the number of developers attracted to the discussed project from different communities. We find that posts about open-source projects first appear on Twitter and HackerNews, then move more towards Reddit. The number of project-related posts on Twitter mostly associate with the attracted developers from communities that are close to the project’s main contributor, while posts on other platforms associate more with the attention from remote communities.
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GitterCom: A Dataset of Open Source Developer Communications in Gitter
Team communication is essential for the development of modern software systems. For distributed software development teams, such as those found in many open source projects, this communication usually takes place using electronic tools. Among these, modern chat platforms such as Gitter are becoming the de facto choice for many software projects due to their advanced features geared towards software development and effective team communication. Gitter channels contain numerous messages exchanged by developers regarding the state of the project, issues and features of the system, team logistics, etc. These messages can contain important information to researchers studying open source software systems, developers new to a particular project and trying to get familiar with the software, etc. Therefore, uncovering what developers are communicating about through Gitter is an essential first step towards successfully understanding and leveraging this information. We present a new dataset, called GitterCom, which aims to enable research in this direction and represents the largest manually labeled and curated dataset of Gitter developer messages. The dataset is comprised of 10,000 messages collected from 10 Gitter communities associated with the development of open source software. Each message was manually annotated and verified by two of the authors, capturing the purpose of the communication expressed by the message. While the dataset has not yet been used in any publication, we discuss how it can enable interesting research opportunities.
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- Award ID(s):
- 1846142
- PAR ID:
- 10220039
- Date Published:
- Journal Name:
- Proceedings of the 17th International Conference on Mining Software Repositories
- Page Range / eLocation ID:
- 563 to 567
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3379597.3387494
