USC researchers have created a machine-learning framework that reveals the pattern of stereotypical actions in films over a 100-year span.
The post Lights, Camera…Stereotypes? Film Characters’ Actions Reflect Gender Bias appeared first on USC Viterbi | School of Engineering.
