“This dataset can be used to generate unbiased plausible stories from biased stories,” the team writes. “The main area where this can be extended is to train [algorithms] to identify which is a biased statement and which is not.” Machine learning algorithms could use the data to understand not only how often men and women appear in films, but the extent to which women may be cast in subordinate roles or underrepresented on movie posters.