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Film and television play an important role in popular culture, howeverstudies that require watching and annotating video are time-consuming andexpensive to run at scale. We explore information mined from media databasecast lists to explore onscreen gender depictions and how they change over time.We find differences between web-mediated onscreen gender proportions and thosefrom US Census data. We propose these methodologies are a useful adjunct totraditional analysis that allow researchers to explore the relationship betweenonline and onscreen gender depictions.

"Roles for the boys?" Mining cast lists for gender and role distributions over time