Investigating Gender Biases in High-level Recruitment: An NLP-driven Approach to Analyzing Job Postings

Mirian Izquierdo Barriuso

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DOI: 10.9734/bpi/nabme/v1/3905
Published: 2025-01-22
Container: New Advances in Business, Management and Economics Vol. 1
Publisher: BP International
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.9734/bpi/nabme/v1/3905,
  title = {Investigating Gender Biases in High-level Recruitment: An NLP-driven Approach to Analyzing Job Postings},
  author = {Mirian Izquierdo Barriuso},
  year = {2025},
  journal = {New Advances in Business, Management and Economics Vol. 1},
  doi = {10.9734/bpi/nabme/v1/3905},
  url = {https://doi.org/10.9734/bpi/nabme/v1/3905}
}

RIS

TY  - JOUR
TI  - Investigating Gender Biases in High-level Recruitment: An NLP-driven Approach to Analyzing Job Postings
AU  - Mirian Izquierdo Barriuso
PY  - 2025
JO  - New Advances in Business, Management and Economics Vol. 1
DO  - 10.9734/bpi/nabme/v1/3905
UR  - https://doi.org/10.9734/bpi/nabme/v1/3905
ER  -

APA

Barriuso, M. I. (2025). Investigating Gender Biases in High-level Recruitment: An NLP-driven Approach to Analyzing Job Postings. New Advances in Business, Management and Economics Vol. 1. https://doi.org/10.9734/bpi/nabme/v1/3905

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crossref · retrieved 2026-11-10T11:29:48.242Z