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Gender bias, social bias, and representation: 70 years of B(H)ollywood

We use a suite of cutting-edge natural language processing methods to quantify and characterize societal and gender biases in popular movie content. Our data set consists of English subtitles of popular movies from Bollywood–the Mumbai film industry—spanning 7 decades (700 movies). In addition, we i...

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Detalles Bibliográficos
Autores principales: Khadilkar, Kunal, KhudaBukhsh, Ashiqur R., Mitchell, Tom M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848024/
https://www.ncbi.nlm.nih.gov/pubmed/35199062
http://dx.doi.org/10.1016/j.patter.2021.100409
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author Khadilkar, Kunal
KhudaBukhsh, Ashiqur R.
Mitchell, Tom M.
author_facet Khadilkar, Kunal
KhudaBukhsh, Ashiqur R.
Mitchell, Tom M.
author_sort Khadilkar, Kunal
collection PubMed
description We use a suite of cutting-edge natural language processing methods to quantify and characterize societal and gender biases in popular movie content. Our data set consists of English subtitles of popular movies from Bollywood–the Mumbai film industry—spanning 7 decades (700 movies). In addition, we include movies from Hollywood and movies nominated for the Academy Awards for contrastive purposes. Our findings indicate that while the overall portrayal of women has improved over time in popular movie dialogues from both Bollywood and Hollywood, modern films still exhibit considerable gender bias and are yet to achieve equal representation among genders. We also observe a strong bias favoring fair skin color in Bollywood content that occurred consistently across all time periods we considered. While our geographic representation analysis indicates improved inclusion over time for several Indian states, it also reveals a long-standing under-representation of many northeastern Indian states.
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spelling pubmed-88480242022-02-22 Gender bias, social bias, and representation: 70 years of B(H)ollywood Khadilkar, Kunal KhudaBukhsh, Ashiqur R. Mitchell, Tom M. Patterns (N Y) Article We use a suite of cutting-edge natural language processing methods to quantify and characterize societal and gender biases in popular movie content. Our data set consists of English subtitles of popular movies from Bollywood–the Mumbai film industry—spanning 7 decades (700 movies). In addition, we include movies from Hollywood and movies nominated for the Academy Awards for contrastive purposes. Our findings indicate that while the overall portrayal of women has improved over time in popular movie dialogues from both Bollywood and Hollywood, modern films still exhibit considerable gender bias and are yet to achieve equal representation among genders. We also observe a strong bias favoring fair skin color in Bollywood content that occurred consistently across all time periods we considered. While our geographic representation analysis indicates improved inclusion over time for several Indian states, it also reveals a long-standing under-representation of many northeastern Indian states. Elsevier 2021-12-09 /pmc/articles/PMC8848024/ /pubmed/35199062 http://dx.doi.org/10.1016/j.patter.2021.100409 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khadilkar, Kunal
KhudaBukhsh, Ashiqur R.
Mitchell, Tom M.
Gender bias, social bias, and representation: 70 years of B(H)ollywood
title Gender bias, social bias, and representation: 70 years of B(H)ollywood
title_full Gender bias, social bias, and representation: 70 years of B(H)ollywood
title_fullStr Gender bias, social bias, and representation: 70 years of B(H)ollywood
title_full_unstemmed Gender bias, social bias, and representation: 70 years of B(H)ollywood
title_short Gender bias, social bias, and representation: 70 years of B(H)ollywood
title_sort gender bias, social bias, and representation: 70 years of b(h)ollywood
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848024/
https://www.ncbi.nlm.nih.gov/pubmed/35199062
http://dx.doi.org/10.1016/j.patter.2021.100409
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