Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 1.28 MB
Add to list
  1. Search results
  2. A survey on stereotype detection in n...

A survey on stereotype detection in natural language processing

Alessandra Teresa Cignarella (UGent) , Anastasia Giachanou and Els Lefever (UGent)
(2026) ACM COMPUTING SURVEYS. 58(5).
Author
Organization
Project
Abstract
Stereotypes influence social perceptions and can escalate into discrimination and violence. While NLP research has extensively addressed gender bias and hate speech, stereotype detection remains an emerging field with significant societal implications. This work presents a survey of existing research, drawing on definitions from psychology, sociology, and philosophy. A semi-automatic literature review was conducted using Semantic Scholar, through which over 6,000 papers (published between 2000–2025) were retrieved and filtered. The analysis identifies key trends, methodologies, challenges and future directions. The findings emphasize the potential of stereotype detection as an early-monitoring tool to prevent bias escalation and the rise of hate speech. The conclusions call for a broader, multilingual, and intersectional approach in NLP studies.
Keywords
stereotype detection, natural language processing, social psychology, literature review, survey, hate speech, gender bias, intersectionality

Downloads

  • Download
    publisher version.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 1.28 MB

Citation

Please use this url to cite or link to this publication:

MLA
Cignarella, Alessandra Teresa, et al. “A Survey on Stereotype Detection in Natural Language Processing.” ACM COMPUTING SURVEYS, vol. 58, no. 5, 2026, doi:10.1145/3770754.
APA
Cignarella, A. T., Giachanou, A., & Lefever, E. (2026). A survey on stereotype detection in natural language processing. ACM COMPUTING SURVEYS, 58(5). https://doi.org/10.1145/3770754
Chicago author-date
Cignarella, Alessandra Teresa, Anastasia Giachanou, and Els Lefever. 2026. “A Survey on Stereotype Detection in Natural Language Processing.” ACM COMPUTING SURVEYS 58 (5). https://doi.org/10.1145/3770754.
Chicago author-date (all authors)
Cignarella, Alessandra Teresa, Anastasia Giachanou, and Els Lefever. 2026. “A Survey on Stereotype Detection in Natural Language Processing.” ACM COMPUTING SURVEYS 58 (5). doi:10.1145/3770754.
Vancouver
1.
Cignarella AT, Giachanou A, Lefever E. A survey on stereotype detection in natural language processing. ACM COMPUTING SURVEYS. 2026;58(5).
IEEE
[1]
A. T. Cignarella, A. Giachanou, and E. Lefever, “A survey on stereotype detection in natural language processing,” ACM COMPUTING SURVEYS, vol. 58, no. 5, 2026.
@article{01K82YFKHV1422CC0CZDB6663P,
  abstract     = {{Stereotypes influence social perceptions and can escalate into discrimination and violence. While NLP research has extensively addressed gender bias and hate speech, stereotype detection remains an emerging field with significant societal implications. This work presents a survey of existing research, drawing on definitions from psychology, sociology, and philosophy. A semi-automatic literature review was conducted using Semantic Scholar, through which over 6,000 papers (published between 2000–2025) were retrieved and filtered. The analysis identifies key trends, methodologies, challenges and future directions. The findings emphasize the potential of stereotype detection as an early-monitoring tool to prevent bias escalation and the rise of hate speech. The conclusions call for a broader, multilingual, and intersectional approach in NLP studies.}},
  articleno    = {{3770754}},
  author       = {{Cignarella, Alessandra Teresa and Giachanou, Anastasia and Lefever, Els}},
  issn         = {{0360-0300}},
  journal      = {{ACM COMPUTING SURVEYS}},
  keywords     = {{stereotype detection,natural language processing,social psychology,literature review,survey,hate speech,gender bias,intersectionality}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{33}},
  title        = {{A survey on stereotype detection in natural language processing}},
  url          = {{http://doi.org/10.1145/3770754}},
  volume       = {{58}},
  year         = {{2026}},
}
Altmetric
View in Altmetric
Web of Science
Times cited: