  The presence of gender stereotypes in many aspects of society is a well-known
phenomenon. In this paper, we focus on studying such stereotypes and bias in
Hindi movie industry (Bollywood). We analyze movie plots and posters for all
movies released since 1970. The gender bias is detected by semantic modeling of
plots at inter-sentence and intra-sentence level. Different features like
occupation, introduction of cast in text, associated actions and descriptions
are captured to show the pervasiveness of gender bias and stereo- type in
movies. We derive a semantic graph and compute centrality of each character and
observe similar bias there. We also show that such bias is not applicable for
movie posters where females get equal importance even though their character
has little or no impact on the movie plot. Furthermore, we explore the movie
trailers to estimate on-screen time for males and females and also study the
portrayal of emotions by gender in them. The silver lining is that our system
was able to identify 30 movies over last 3 years where such stereotypes were
broken.
