Gender bias in machine learning: insights from official labour statistics and textual analysis.

Menis-Mastromichalakis O, Filandrianos G, Symeonaki M, Stamatopoulou G, Parsanoglou D, Stamou G

DOI: 10.1007/s11135-025-02261-0
Published: 2026
Container: Quality & quantity
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s11135-025-02261-0,
  title = {Gender bias in machine learning: insights from official labour statistics and textual analysis.},
  author = {Menis-Mastromichalakis O and Filandrianos G and Symeonaki M and Stamatopoulou G and Parsanoglou D and Stamou G},
  year = {2026},
  journal = {Quality \& quantity},
  doi = {10.1007/s11135-025-02261-0},
  url = {https://doi.org/10.1007/s11135-025-02261-0}
}

RIS

TY  - JOUR
TI  - Gender bias in machine learning: insights from official labour statistics and textual analysis.
AU  - Menis-Mastromichalakis O
AU  - Filandrianos G
AU  - Symeonaki M
AU  - Stamatopoulou G
AU  - Parsanoglou D
AU  - Stamou G
PY  - 2026
JO  - Quality & quantity
DO  - 10.1007/s11135-025-02261-0
UR  - https://doi.org/10.1007/s11135-025-02261-0
ER  -

APA

O, M., G, F., M, S., G, S., D, P., & G, S. (2026). Gender bias in machine learning: insights from official labour statistics and textual analysis.. Quality & quantity. https://doi.org/10.1007/s11135-025-02261-0

Source records

pubmed · retrieved 2026-09-25T12:31:48.195Z