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Using word embeddings to investigate cultural biases
Word embeddings provide quantitative representations of word semantics and the associations between word meanings in text data, including in large repositories in media and social media archives. This article introduces social psychologists to word embedding research via a consideration of bias anal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086990/ https://www.ncbi.nlm.nih.gov/pubmed/35871272 http://dx.doi.org/10.1111/bjso.12560 |
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author | Durrheim, Kevin Schuld, Maria Mafunda, Martin Mazibuko, Sindisiwe |
author_facet | Durrheim, Kevin Schuld, Maria Mafunda, Martin Mazibuko, Sindisiwe |
author_sort | Durrheim, Kevin |
collection | PubMed |
description | Word embeddings provide quantitative representations of word semantics and the associations between word meanings in text data, including in large repositories in media and social media archives. This article introduces social psychologists to word embedding research via a consideration of bias analysis, a topic of central concern in the discipline. We explain how word embeddings are constructed and how they can be used to measure bias along bipolar dimensions that are comparable to semantic differential scales. We review recent studies that show how familiar social biases can be detected in embeddings and how these change over time and in conjunction with real‐world discriminatory practices. The evidence suggests that embeddings yield valid and reliable estimates of bias and that they can identify subtle biases that may not be communicated explicitly. We argue that word embedding research can extend scholarship on prejudice and stereotyping, providing measures of the bias environment of human thought and action. |
format | Online Article Text |
id | pubmed-10086990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100869902023-04-12 Using word embeddings to investigate cultural biases Durrheim, Kevin Schuld, Maria Mafunda, Martin Mazibuko, Sindisiwe Br J Soc Psychol Articles Word embeddings provide quantitative representations of word semantics and the associations between word meanings in text data, including in large repositories in media and social media archives. This article introduces social psychologists to word embedding research via a consideration of bias analysis, a topic of central concern in the discipline. We explain how word embeddings are constructed and how they can be used to measure bias along bipolar dimensions that are comparable to semantic differential scales. We review recent studies that show how familiar social biases can be detected in embeddings and how these change over time and in conjunction with real‐world discriminatory practices. The evidence suggests that embeddings yield valid and reliable estimates of bias and that they can identify subtle biases that may not be communicated explicitly. We argue that word embedding research can extend scholarship on prejudice and stereotyping, providing measures of the bias environment of human thought and action. John Wiley and Sons Inc. 2022-07-23 2023-01 /pmc/articles/PMC10086990/ /pubmed/35871272 http://dx.doi.org/10.1111/bjso.12560 Text en © 2022 The Authors. British Journal of Social Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Durrheim, Kevin Schuld, Maria Mafunda, Martin Mazibuko, Sindisiwe Using word embeddings to investigate cultural biases |
title | Using word embeddings to investigate cultural biases |
title_full | Using word embeddings to investigate cultural biases |
title_fullStr | Using word embeddings to investigate cultural biases |
title_full_unstemmed | Using word embeddings to investigate cultural biases |
title_short | Using word embeddings to investigate cultural biases |
title_sort | using word embeddings to investigate cultural biases |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086990/ https://www.ncbi.nlm.nih.gov/pubmed/35871272 http://dx.doi.org/10.1111/bjso.12560 |
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