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The presence of gender stereotypes in many aspects of society is a well-knownphenomenon. In this paper, we focus on studying and quantifying suchstereotypes and bias in the Man Bookers Prize winning fiction. We consider 275books shortlisted for Man Bookers Prize between 1969 and 2017. The gender biasis analyzed by semantic modeling of book descriptions on Goodreads. Thisreveals the pervasiveness of gender bias and stereotype in the books ondifferent features like occupation, introductions and actions associated to thecharacters in the book.

Judging a Book by its Description : Analyzing Gender Stereotypes in the Man Bookers Prize Winning Fiction