"Creating inclusive technologies and technologies for inclusion"

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Our Mission

Our goal is to develop computational media intelligence on how people, places and topics are portrayed for the purpose of storytelling to study their impact on humans and society at large

Our Team

We are students building engineering models to understand representation of people in media.

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Grid of our team

Highlights

2:1

Gender

Among characters in STEM professions, male characters outnumber female characters two-to-one (70.2% compared with 29.8%).

<1%

LGBTQ+

Less than 1% of all characters in the top children's TV shows are LGBTQ+.

16.1%

Race/Ethinicity

Characters of color are more likely to be shown as violent than white characters (16.1% compared with 13.8%).

Latest Demos

Representation of Professions in Movie Subtitles

Representation of Professions in Movie Subtitles

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Subtitle Aligned Movie (SAM) Corpus

A large-scale dataset for speech activity detection in movies

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News

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Our Collaborators

Geena Davis Institute
Google
USC