Detecting Gender in Movies

Comparing our results to Google's

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July 2018
Measuring gender bias in films: comparing our results with Google's
Results
About
Female on-screen time
Google
Source
Demografy
Face and gender recognition in video tracks
Method
Gender detection in cast names
By MPAA rating
PG
PG-13
R
By Oscar-winning vs all
Oscar-winning
All movies
By genre
Horror
Romance
Comedy
Sci-Fi
Drama
Biography
Action
Crime
Inspired by Google/GD-IQ 2017 study on gender bias in 300 top grossing 2014–2016 US movies, we used Demografy to measure female on-screen time in the same movies by analyzing names of main character cast. Though both studies use different technologies and measure slightly different indicators we got very close results and decided to publish them.
Goal of the research
Like in our previous study of measuring Twitter demographics, we were challenged to use Demografy technology on a real world task with results that can be cross-verified against reputed source. Google’s 2017 study was a perfect choice for this purpose.
Difference in measured indicators:
First of all, we’d like to highlight difference between the two studies.
Google measured share of female on-screen time by analyzing video frames with detected human faces.
Demografy measured share of female cast by analyzing names of top 10 characters in cast assuming that first 10 actors in cast represent main characters in the movie.
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