The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Impression formation in online peer production: activity traces and personal profiles in github
Open accessAbstract
In this paper we describe a qualitative investigation of impression formation in an online distributed software development community with social media functionality. We find that users in this setting seek out additional information about each other to explore the project space, inform future interactions, and understand the potential future value of a new person. They form impressions around other users' expertise based on history of activity across projects, and successful collaborations with key high status projects in the community. These impressions influence their receptivity to strangers' work contributions.
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Cites
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Self-citationCommons-based Peer Production and Virtue
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Quality and productivity outcomes relating to continuous integration in GitHub
Vasilescu, B., Yu, Y., Wang, H., Devanbu, P., & Filkov, V. (2015) · Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering · doi:10.1145/2786805.2786850 · Cited by 406
Peer and self assessment in massive online classes
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Code review quality: how developers see it
Kononenko, O., Baysal, O., & Godfrey, M. W. (2016) · Proceedings of the 38th International Conference on Software Engineering · doi:10.1145/2884781.2884840 · Cited by 183
An overview of decentralized autonomous organizations on the blockchain
El Faqir, Y., Arroyo, J., & Hassan, S. (2020) · Proceedings of the 16th International Symposium on Open Collaboration · doi:10.1145/3412569.3412579 · Cited by 165
(2018) · doi:10.1145/3180155.3180209 · Cited by 98
Metadata
- Authors
- Marlow, J., Dabbish, L., & Herbsleb, J.
- Venue
- Proceedings of the 2013 conference on Computer supported cooperative work
- Publisher
- ACM
- Published
- 2013-02-23
- Pages
- 117-128
- OpenAlex
- W2108050908
- Cited by
- 223
- References
- 16
- FWCI
- 13.42
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.