USING DATA SCIENCE TO UNDERSTAND GENDER GAP IN THE FILM INDUSTRY

Dima Kagan, Thomas Chesney, and Michael Fire

Data SCIENCE

 

 

Network Science

 

Big Data 3Vs

CREATING MASSIVE NETWORK DATASETS

Fire, Michael, and Carlos Guestrin. "The Rise and Fall of Network Stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time," Information Processing & Management (2019)

  • Titles: 5,487,394
  •  Full-Length Movies: 505,380
  • Actor: 24,496,030
  • Actress: 15,549,871

Movies Data

Constructing Movie Social Networks

Constructing Movie Social Networks

Constructing Movie Social Networks

W=W+1

Challenges

 

Am I to understand you're still hanging
around with Dr. Emmett Brown, McFly?

Marty McFly

Lorraine McFly

George McFly

15,540

7,322

Subtitles

Cast Data

Cast Data

THE SCULLY EFFECT

  • Nearly two-thirds (63%) of women who are familiar with Dana Scully say she increased their belief in the importance of STEM.
  • Among women who are familiar with Scully’s character, half (50%) say Scully increased their interest in STEM.
  • Entertainment media is influential in shaping life choices

THE SCULLY EFFECT: I WANT TO BELIEVE IN STEM Research by 21st Century Fox, Geena Davis Institute on Gender in Media, and J. Walter Thompson Intelligence

Research questions

  1. Are there movie genres that do not exhibit a gender gap?

  2. What do characters' relationships reveal about gender, and how has this changed over time?

  3. Are women receiving more central movie roles today than in the past?

  4. How has the fairness of female representation in movies changed over the years?
     

What can we do about it?

Features

Network Features

Vertex Feature

Gender Representation

Movie Feature

Actor Features

 Relationship triangles

Change in Relationship triangles over time

 Top-10 Roles Distribution

BECHDEL TEST

  1. The movie has to have at least two women in it,
  2. who talk to each other,
  3. about something besides a man

Bechdel Test Classifier

Feature Feature Importance
Percent of Triangles of 2 Women  0.15797
Percent of Triangles of 0 Women 0.14502
Females in Top 10 Roles  0.13659
Percent of Triangles of 3 Women 0.12058
Triangles of 3 Women 0.0743

Bechdel Test Classifier

ALTERNATIVE TEST

0.8< \frac{TotalDegree_F}{TotalDegree_M} <1.2
  • It is easy to pass the Bechdel-Test.
  • We found that 55.8% of movies the total degree of male characters is at least twice as high as female characters.
  • A good test could be:



     

  • Sadly today only 12% of all movies pass this test

 

https://github.com/data4goodlab/subs2network

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