Sociology

Computational appraisal of gender representativeness in popular movies

A. Mazières, T. Menezes, et al.

This research conducted by Antoine Mazières, Telmo Menezes, and Camille Roth delves into automated methods for analyzing gender representation in blockbuster films, revealing significant trends over three decades. Despite confirming ongoing underrepresentation of women, the study highlights an encouraging shift towards more equitable portrayals across various genres and budgets.

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Index

Abstract

This article explores the use of automated computational methods to analyze gender representation in popular movies. A face and gender detection algorithm was applied to over 3500 movies spanning three decades. The study confirms women's underrepresentation but also reveals a temporal trend toward fairer representation. The findings are analyzed in relation to movie genre, budget, and audience features. The study also examines asymmetries in the mise-en-scène and mise-en-cadre of characters based on gender and spatial composition.

Publisher

Humanities & Social Sciences Communications

Published On

Jun 07, 2021

Authors

Antoine Mazières, Telmo Menezes, Camille Roth

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