Detecting gender bias in Arabic text through word embeddings

Aya Mourad, Fatima K. Abu Salem, Shady Elbassuoni

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DOI: 10.1371/journal.pone.0319301
Published: 2025-03-31
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0319301,
  title = {Detecting gender bias in Arabic text through word embeddings},
  author = {Aya Mourad and Fatima K. Abu Salem and Shady Elbassuoni},
  year = {2025},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0319301},
  url = {https://doi.org/10.1371/journal.pone.0319301}
}

RIS

TY  - JOUR
TI  - Detecting gender bias in Arabic text through word embeddings
AU  - Aya Mourad
AU  - Fatima K. Abu Salem
AU  - Shady Elbassuoni
PY  - 2025
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0319301
UR  - https://doi.org/10.1371/journal.pone.0319301
ER  -

APA

Mourad, A., Salem, F. K. A., & Elbassuoni, S. (2025). Detecting gender bias in Arabic text through word embeddings. PLOS ONE. https://doi.org/10.1371/journal.pone.0319301

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crossref · retrieved 2026-09-26T05:18:56.680Z