Gender bias, social bias, and representation: 70 years of B

Bollywood Hollywood gender bias social bias

Journal

Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765

Informations de publication

Date de publication:
11 Feb 2022
Historique:
received: 13 05 2021
revised: 14 10 2021
accepted: 16 11 2021
entrez: 24 2 2022
pubmed: 25 2 2022
medline: 25 2 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35199062
doi: 10.1016/j.patter.2021.100409
pii: S2666-3899(21)00283-X
pmc: PMC8848024
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100409

Commentaires et corrections

Type : ErratumIn
Type : ErratumIn

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Références

Behav Res Methods. 2013 Dec;45(4):1191-207
pubmed: 23404613
Trauma Violence Abuse. 2014 Jan;15(1):34-40
pubmed: 23897921
Psychol Rev. 1995 Jan;102(1):4-27
pubmed: 7878162
Nat Hum Behav. 2020 Oct;4(10):1021-1028
pubmed: 32747806
Demography. 2003 Nov;40(4):637-57
pubmed: 14686135
J Biosoc Sci. 2020 Jan;52(1):27-36
pubmed: 31115284
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):E3635-E3644
pubmed: 29615513
Cult Health Sex. 2008 Oct;10(7):697-708
pubmed: 18821352
Science. 2017 Apr 14;356(6334):183-186
pubmed: 28408601
Trauma Violence Abuse. 2006 Jan;7(1):66-77
pubmed: 16332983
Br J Dermatol. 2015 Jul;173 Suppl 2:2-9
pubmed: 26207658

Auteurs

Kunal Khadilkar (K)

School of Computer Science, Language Technologies Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.

Ashiqur R KhudaBukhsh (AR)

Golisano College of Computing and Information Sciences, Software Engineering Department, Rochester Institute of Technology, 20 Lomb Memorial Drive, New York, NY 14623, USA.

Tom M Mitchell (TM)

School of Computer Science, Machine Learning Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.

Classifications MeSH