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Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods
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In the citing paper
“such APIs have been shown to be biased by ethnicity [37]”
From How sharing is the “sharing economy”? Evidence from 97 Airbnb markets (2022) · cites this paper as [37]
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Citations
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Research works printed but not linked: 7
- M. Ciot, M. Sonderegger, and D. Ruths. Gender inference of twitter users in non-english contexts. In EMNLP, pages 1136--1145, 2013. · DOI
- C. Green, N. Jegadeesh, and Y. Tang. Gender and job performance: Evidence from wall street. Financial Analysts Journal, 65(6):65--78, 2009. · DOI
- V. Larivière, C. Ni, Y. Gingras, B. Cronin, and C. R. Sugimoto. Bibliometrics: Global gender disparities in science. Nature, 504(7479):211--213, Dec. 2013. · DOI · Paper page
- A. Mislove, S. Lehmann, Y.-Y. Ahn, J.-P. Onnela, and J. N. Rosenquist. Understanding the demographics of twitter users. ICWSM, 11:5th, 2011. · DOI · Paper page
- D. Rao, D. Yarowsky, A. Shreevats, and M. Gupta. Classifying latent user attributes in twitter. In Proceedings of the 2nd International Workshop on Search and Mining User-generated Contents, SMUC '10, pages 37--44, New York, NY, USA, 2010. ACM. · DOI · Paper page
- J. D. West, J. Jacquet, M. M. King, S. J. Correll, and C. T. Bergstrom. The role of gender in scholarly authorship. PLoS ONE, 8(7):e66212, 07 2013. · DOI · Paper page
- E. Zhou, Z. Cao, and Q. Yin. Naive-deep face recognition: Touching the limit of LFW benchmark or not? arXiv preprint arXiv:1501.04690, 2015. · arXiv
Cited by
Investigating the Impact of Gender on Rank in Resume Search Engines
Chen, L., Ma, R., Hannák, A., & Wilson, C. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174225 · Cited by 155
Investigating the division of scientific labor using the Contributor Roles Taxonomy (CRediT)
Larivière, V., Pontille, D., & Sugimoto, C. R. (2021) · Quantitative Science Studies · doi:10.1162/qss_a_00097 · Cited by 97
Spiel, K. (2021) · Designing Interactive Systems Conference 2021 · doi:10.1145/3461778.3462033 · Cited by 76
Prana, G. A. A., Ford, D., Rastogi, A., Lo, D., Purandare, R., & Nagappan, N. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2021.3092813 · Cited by 66
How sharing is the “sharing economy”? Evidence from 97 Airbnb markets
Törnberg, P. (2022) · PLOS ONE · doi:10.1371/journal.pone.0266998 · Cited by 24
Metadata
- Authors
- Karimi, F., Wagner, C., Lemmerich, F., Jadidi, M., & Strohmaier, M.
- Venue
- Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion
- Publisher
- ACM Press
- Published
- 2016
- Pages
- 53-54
- Cited by
- 110
- References
- 0
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods. https://app.cochat.ai/papers/10.1145/2872518.2889385
- The paper
- Karimi, F., Wagner, C., Lemmerich, F., Jadidi, M., & Strohmaier, M. (2016). Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods. Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion. https://doi.org/10.1145/2872518.2889385
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
