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Measuring Female Representation and Impact in Films over Time

Published: 25 November 2020 Publication History

Abstract

Women have always been underrepresented in movies and not until recently has the representation of women in movies improved. To investigate the improvement of female representation and its relationship with a movie’s success, we propose a new measure, the female cast ratio, and compare it to the commonly used Bechdel test result. We employ generalized linear regression with L1 penalty and a Random Forest model to identify the predictors that influence female representation, and evaluate the relationship between female representation and a movie’s success in three aspects: revenue/budget ratio, rating, and popularity. Three important findings in our study have highlighted the difficulties women in the film industry face both upstream and downstream. First, female filmmakers, especially female screenplay writers, are instrumental for movies to have better female representation, but the percentage of female filmmakers has been very low. Second, movies that have the potential to tell insightful stories about women are often provided with lower budgets, and this usually causes the films to in turn receive more criticism. Finally, the demand for better female representation from moviegoers has also not been strong enough to compel the film industry to change, as movies that have poor female representation can still be very popular and successful in the box office.

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      cover image ACM/IMS Transactions on Data Science
      ACM/IMS Transactions on Data Science  Volume 1, Issue 4
      Special Issue on Retrieving and Learning from IoT Data and Regular Papers
      November 2020
      148 pages
      ISSN:2691-1922
      DOI:10.1145/3439709
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 25 November 2020
      Accepted: 01 July 2020
      Revised: 01 June 2020
      Received: 01 April 2020
      Published in TDS Volume 1, Issue 4

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      Author Tags

      1. Bechdel test
      2. IMDB
      3. Movie
      4. TMDB
      5. gender
      6. random forest
      7. regularized regression

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      • (2024)Exploring the Factors Contributing to Low Women Participation in the Kwazulu-Natal Film IndustryJournal of Social and Development Sciences10.22610/jsds.v14i2(S).380414:2(S)(39-51)Online publication date: 9-Jul-2024
      • (2024)What to Expect When You’re Delivering? How the Gender Structure is Reinforced Through Fictional Depictions of ChildbirthGender Issues10.1007/s12147-024-09330-y41:3Online publication date: 7-Jun-2024
      • (2024)Psychology and Popular FilmHandbook of Media Psychology10.1007/978-3-031-56537-3_10(131-141)Online publication date: 30-Apr-2024
      • (2023)Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language ProcessingJournal of Data Science10.6339/23-JDS1100(77-96)Online publication date: 2-May-2023
      • (2023)Representation of gender violence in appeal proceedings in SpainRevista de Llengua i Dret10.58992/rld.i79.2023.3927(158-175)Online publication date: 21-Jun-2023
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      • (2023)The economic case for equality in screenplays: The Bechdel test, female dialogue and box office revenueJournal of Screenwriting10.1386/josc_00124_114:2(173-190)Online publication date: 1-Jul-2023
      • (2023)KC-GCNWireless Communications & Mobile Computing10.1155/2023/28548742023Online publication date: 16-Feb-2023
      • (2023)Gender bias in video game dialogueRoyal Society Open Science10.1098/rsos.22109510:5Online publication date: 24-May-2023
      • (2023)Strees in the streets. Gendered engagement with the urban space in Hindi films: a quantitative studyGeoJournal10.1007/s10708-023-10832-788:4(3651-3664)Online publication date: 28-Jan-2023
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