Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention
dc.contributor.author | Maldeniya, Danaja | |
dc.contributor.author | Budak, Ceren | |
dc.contributor.author | Robert, Lionel "Jr." | |
dc.date.accessioned | 2020-02-12T20:45:50Z | |
dc.date.available | 2020-02-12T20:45:50Z | |
dc.date.issued | 2020-02-12 | |
dc.identifier.citation | Maldeniya, D., Budak, C., Robert, L. P. and Romero, D. (2020). Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention, Proceedings of The Web Conference 2020, April 20-24, 2020, Taipei, Taiwan. https://doi.org/10.1145/3366423.3380272 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/153786 | |
dc.description.abstract | Collaborative crowdsourcing is a well-established model of work, especially in the case of open source software development. The structure and operation of these virtual and loosely-knit teams differ from traditional organizations. As such, little is known about how their behavior may change in response to an increase in external attention. To understand these dynamics, we analyze millions of actions of thousands of contributors in over 1100 open source software projects that topped the GitHub Trending Projects page and thus experienced a large increase in attention, in comparison to a control group of projects identified through propensity score matching. In carrying out our research, we use the lens of organizational change, which considers the challenges teams face during rapid growth and how they adapt their work routines, organizational structure, and management style. We show that trending results in an explosive growth in the effective team size. However, most newcomers make only shallow and transient contributions. In response, the original team transitions towards administrative roles, responding to requests and reviewing work done by newcomers. Projects evolve towards a more distributed coordination model with newcomers becoming more central, albeit in limited ways. Additionally, teams become more modular with subgroups specializing in different aspects of the project. We discuss broader implications for collaborative crowdsourcing teams that face attention shocks. | en_US |
dc.description.sponsorship | National Science Foundation Grant No. IIS-1617820. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | WWW 2020 | en_US |
dc.subject | collaborative crowdsourcing | en_US |
dc.subject | crowdsourcing | en_US |
dc.subject | crowds | en_US |
dc.subject | crowdwork | en_US |
dc.subject | open source software development | en_US |
dc.subject | open source community | en_US |
dc.subject | virtual teams | en_US |
dc.subject | software development | en_US |
dc.subject | GitHub | en_US |
dc.subject | open source software projects | en_US |
dc.subject | Trending Projects | en_US |
dc.subject | teamwork | en_US |
dc.subject | organizational change | en_US |
dc.subject | attention shocks | en_US |
dc.subject | Collaborative work | en_US |
dc.subject | groupwork | en_US |
dc.subject | online collaboration | en_US |
dc.subject | computer supported collaborative work | en_US |
dc.subject | collaborative work | en_US |
dc.subject | computer mediated communication | en_US |
dc.subject | computer mediated communication teams | en_US |
dc.subject | open source communities | en_US |
dc.subject | software project management | en_US |
dc.subject | software management | en_US |
dc.subject | Trending Github Projects | en_US |
dc.subject | crowd shocks | en_US |
dc.subject | crowd change | en_US |
dc.subject | open source crowd management | en_US |
dc.subject | open source crowd work | en_US |
dc.title | Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention | en_US |
dc.type | Conference Paper | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | College of Engineering | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/153786/1/Maldeniya et al. 2020.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/153786/4/Maldeniya et al. 2020 Published Version.pdf | |
dc.identifier.doi | https://doi.org/10.1145/3366423.3380272 | |
dc.identifier.source | Proceedings of The Web Conference 2020 | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Maldeniya et al. 2020.pdf : Main Article | |
dc.description.filedescription | Description of Maldeniya et al. 2020 Published Version.pdf : Published Version | |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
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