Hacking Diversity: The Politics of Inclusion in Open Technology Cultures
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The reality of openness is problematic both in terms of overall participation, dropout rates, and quality of experience.
“Despite the promise of openness-online work where anyone can, in theory, participate-the reality is problematic both in terms of overall participation, dropout rates, and quality of experience [19, 25].”
From Paradoxes of Openness: Trans Experiences in Open Source Software (2024) · cites this paper as [25]
Cited by
Sorted by citations
The Labor of Maintaining and Scaling Free and Open-Source Software Projects
Geiger, R. S., Howard, D., & Irani, L. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449249 · Cited by 49 · see citing works
Paradoxes of Openness: Trans Experiences in Open Source Software
Frluckaj, H., Stevens, N., Howison, J., & Dabbish, L. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3687047 · Cited by 5 · see citing works
- Authors
- Dunbar-Hester, C.
- Corresponding author
- Dunbar-Hester, Christina
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2019-12-10
- OpenAlex
- W4244066928
- Cited by
- 17
- References
- 0
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 3
- FWCI
- 3.51
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Princeton University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Cultural Identity and Representation
- Social Sciences › Gender Studies › Gender Diversity and Inequality
- Social Sciences › Sociology and Political Science › The Impact of Diversity and Innovation on Society
- Keywords
- diversity, hacking, diversity management, organizational diversity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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