skip to main content
10.1145/2889160.2891035acmconferencesArticle/Chapter ViewAbstractPublication PagesicseConference Proceedingsconference-collections
demonstration

Do biases related to geographical location influence work-related decisions in GitHub?

Published:14 May 2016Publication History

ABSTRACT

Visible demographic characteristics are seen as elements of bias in offline work environments. In this study, we investigate the influence of the geographical location on the evaluation of pull requests in GitHub -- the most popular online collaborative code development environment. We use a mixed-methods approach and present analyses of 70,000+ pull requests and 2,500+ survey responses. Quantitative analysis of GitHub projects' data suggests that the geographical location significantly explains the pull request acceptance decisions. These observations are in agreement with the perceptions of submitters based on their experiences with bias. Integrators feel that it is easy to work with contributors from the same geographical location and that they encourage contributors from the same geographical location. However, integrators do not feel that contributors from some countries are better at writing pull requests compared to others.

References

  1. A. Sandberg, "Competing biases: Effects of gender and nationality in sports judging Sandberg," Stock. Sch. Econ., 2014.Google ScholarGoogle Scholar
  2. R. L. Johnson, S. Saha, J. J. Arbelaez, M. C. Beach, and L. a. Cooper, "Racial and ethnic differences in patient perceptions of bias and cultural competence in health care," J. Gen. Intern. Med., vol. 19, no. 2, pp. 101--110, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  3. O. Åslund and O. N. Skans, "Do anonymous job application procedures level the playing field?," Ind. Labor Relations Rev., vol. 65, no. 1, pp. 82--107, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  4. E. Dwoskin, "Computers are showing their biases and tech firms are concerned." 2015.Google ScholarGoogle Scholar
  5. B. Vasilescu, V. Filkov, and A. Serebrenik, "Perceptions of Diversity on GitHub: A User Survey," Icse, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. C. Bird, A. Gourley, P. Devanbu, A. Swaminathan, and G. Hsu, "Open Borders? Immigration in Open Source Projects," in Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007), 2007, pp. 6--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. G. Gousios and A. Zaidman, "A dataset for pull request research," Submitt. to MSR, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. Pham, L. Singer, O. Liskin, F. F. Filho, and K. Schneider, "Creating a shared understanding of testing culture on a social coding site," 2013 35th Int. Conf. Softw. Eng., pp. 112--121, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Tsay, L. Dabbish, and J. Herbsleb, "Influence of Social and Technical Factors for Evaluating Contribution in GitHub," Proc. 36th Int. Conf. Softw. Eng., pp. 356--366, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. Marlow, L. Dabbish, and J. Herbsleb, "Impression Formation in Online Peer Production: Activity Traces and Personal Profiles in GitHub," Proc. ACM Conf. Comput. Support. Coop. Work. CSCW, pp. 117--128, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. P. Weißgerber, D. Neu, and S. Diehl, "Small patches get in!," Proc. 2008 Int. Work. Min. Softw. Repos. -MSR '08, p. 67, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. A. Rastogi, "Data for replication", 2015 https://sites.google.com/site/ayushirastogi1989india/research/ethnicitystudy-dataGoogle ScholarGoogle Scholar
  13. "R language." 2015, https://www.R-project.org/Google ScholarGoogle Scholar

Index Terms

  1. Do biases related to geographical location influence work-related decisions in GitHub?

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion
      May 2016
      946 pages
      ISBN:9781450342056
      DOI:10.1145/2889160

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 May 2016

      Check for updates

      Qualifiers

      • demonstration

      Acceptance Rates

      Overall Acceptance Rate276of1,856submissions,15%

      Upcoming Conference

      ICSE 2025

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader