Hollywood Racial and Gender Diversity Report

Verifying our results with USC Annenberg's study

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September 2018
Measuring racial and gender diversity in films using AI
Results
About
Race/ethnicity and gender composition of film cast and crew
USC Annenberg Inclusion Initiative
Source
Demografy
Manual data compilation from open sources
Method
Race/ethnicity and gender detection in names using ML
By race/ethnicity
Cast
White American
African American
Hispanic
Asian American
Native American
Middle Eastern
Other
By race/ethnicity
Directors
Non-Black and non-Asian
Asian American
African American
By gender
Cast
Producers
Writers
Directors
As a development of our previous case study of measuring gender bias in films, we decided to measure more demographic indicators using our technology. In this case study we measured gender composition of different roles in film industry as well as racial and ethnic composition of actors in top grossing US movies. We compared our results with USC Annenberg’s 2015 report since it contains a comprehensive and detailed data on measured demographic compositions.
About the Annenberg Inclusion Initiative
AII is the leading think tank in the world studying diversity and inclusion in entertainment through original research and sponsored projects. Beyond research, the Annenberg Inclusion Initiative develops targeted, research-based solutions to tackle inequality.
What data is measured
We measured gender and racial demographics for the following data:
Gender of directors, producers, writers and actors for 2015 top grossing US movies
Race and ethnicity of actors and directors in 2015 top grossing US movies
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