
A machine-learning framework is able to detect gender stereotypes in movie scripts by the actions of characters
In the initial stage of the research, manual annotations were collected for 9,613 descriptions, as well as gender expression labels for over 1.5 million characters. As a result, a machine learning model was developed to identify actions, agents, and patients in movie scripts using natural language. Finally, statistical