Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism

要旨

While many forms of financial support are currently available, there are still many complaints about inadequate financing from software maintainers. In May 2019, GitHub, the world's most active social coding platform, launched the SPONSOR mechanism as a step toward more deeply integrating open source development and financial support. This paper collects data on 8,028 maintainers, 13,555 sponsors, and 22,515 sponsorships and conducts a comprehensive analysis. We explore the relationship between the SPONSOR mechanism and developers along four dimensions using a combination of qualitative and quantitative analysis, examining why developers participate, how the mechanism affects developer activity, who obtains more sponsorships, and what mechanism flaws developers have encountered in the process of using it. We find a long-tail effect in the act of sponsorship, with most maintainers' expectations remaining unmet, and sponsorship has only a short-term, slightly positive impact on development activity but is not sustainable. While sponsors participate in this mechanism mainly as a means of thanking the developers of OSS that they use, in practice, the social status of developers is the primary influence on the number of sponsorships. We find that both the SPONSOR mechanism and open source donations have certain shortcomings and need further improvements to attract more participants.

著者
Xunhui Zhang
National University of Defense Technology, Changsha, Hunan, China
Tao Wang
College of Computer, Changsha, China
Yue Yu
National University of Defense Technology, Changsha, Hunan, China
Qiubing Zeng
National University of Defense Technology, Changsha, Hunan, China
Zhixing Li
National University of Defense Technology, Changsha, China
Huaimin Wang
National University of Defense Technology, Changsha, Hunan, China
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501822

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Understanding Online Experiences

386
5 件の発表
2022-05-03 18:00:00
2022-05-03 19:15:00