"This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New ContributorsDistinguished Paper Award
Fri 13 May 2022 12:15 - 12:20 at ICSE room 4-even hours - Software Ecosystems 3 Chair(s): Christina von Flach
Thu 26 May 2022 09:25 - 09:30 at Room 304+305 - Papers 11: Release Engineering and DevOps Chair(s): Andy Zaidman
Twitter is widely used by software developers. But how effective are tweets at promoting open source projects? How could one use Twitter to increase a project’s popularity or attract new contributors? In this paper we report on a mixed-method empirical study of 44,544 tweets containing links to 2,370 open-source GitHub repositories, looking for evidence of causal effects of these tweets on the projects attracting new GitHub stars and contributors, as well as characterizing the high-impact tweets, the people likely being attracted by them, and how they differ from contributors attracted otherwise. Among others, we find that tweets have a statistically significant and practically sizable effect on obtaining new stars but only a small average effect on attracting new contributors. The popularity, content of the tweet, as well as the identity of tweet authors all affect the scale of attraction effect. In addition, our qualitative analysis suggests forming an active Twitter community for an OSS project or OSS developers maintaining strong Twitter ties plays an important key to attract new committers by tweet. We also report that developers who are new toGitHub, have a long history of Twitter usage but few tweets posted are more likely to be attracted as contributor to repositories mentioned by tweets. Our work contributes to the literature on open source sustainability.
Thu 12 MayDisplayed time zone: Eastern Time (US & Canada) change
20:00 - 21:00 | Software Ecosystems 2Technical Track / Journal-First Papers at ICSE room 4-even hours Chair(s): John-Paul Ore North Carolina State University | ||
20:00 5mTalk | GitHub Discussions: An exploratory study of early adoption Journal-First Papers Hideaki Hata Shinshu University, Nicole Novielli University of Bari, Sebastian Baltes SAP SE & University of Adelaide, Raula Gaikovina Kula Nara Institute of Science and Technology, Christoph Treude University of Melbourne Link to publication DOI Pre-print Media Attached | ||
20:05 5mTalk | An Exploratory Study of Deep Learning Supply Chain Technical Track Xin Tan Beihang University, China, Kai Gao University of Science and Technology Beijing, Minghui Zhou Peking University, China, Li Zhang Beihang University Pre-print Media Attached | ||
20:10 5mTalk | "Did You Miss My Comment or What?" Understanding Toxicity in Open Source DiscussionsDistinguished Paper Award Technical Track Courtney Miller Carnegie Mellon University, Sophie Cohen Wesleyan University, Daniel Klug Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA, Christian Kästner Carnegie Mellon University Pre-print Media Attached | ||
20:15 5mTalk | Nufix: Escape From NuGet Dependency Maze Technical Track Zhenming Li Northeastern University, Ying Wang Northeastern University, China, Zeqi Lin Microsoft Research, China, Shing-Chi Cheung Hong Kong University of Science and Technology, Jian-Guang Lou Microsoft Research Pre-print Media Attached | ||
20:20 5mTalk | "This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New ContributorsDistinguished Paper Award Technical Track Hongbo Fang Carnegie Mellon University, Hemank Lamba Carnegie Mellon University, Jim Herbsleb Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA DOI Pre-print Media Attached |