Analyzing Gender Bias within Narrative Tropes

Dhruvil Gala · Mohammad Omar Khursheed · Hannah Lerner · Mohit Iyyer

16 citations0/0 files storedWorkshop on Natural Language Processing and Computational Social Science (NLP+CSS)

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Media, Gender, and Advertising Ethics and Social Impacts of AI Gender Studies in Language

Abstract

Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently across media.In this paper, we specifically investigate gender bias within a large collection of tropes.To enable our study, we crawl tvtropes.org,an online user-created repository that contains 30K tropes associated with 1.9M examples of their occurrences across film, television, and literature.We automatically score the "genderedness" of each trope in our TVTROPES dataset, which enables an analysis of (1) highly-gendered topics within tropes, (2) the relationship between gender bias and popular reception, and (3) how the gender of a work's creator correlates with the types of tropes that they use.Authors contributed equally.

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1996The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism.2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings 1995The Unruly Woman: Gender and the Genres of Laughter 2005Not a Hater, Just Keepin' It Real 2014Gender Asymmetries in Reality and Fiction: The Bechdel Test of Social Media 2019Independent women: from film to television 2011High Stakes Stereotypes: The Emergence of the “Casino Indian” Trope in Television Depictions of Contemporary Native Americans 2019Proposed Taxonomy for Gender Bias in Text; A Filtering Methodology for the Gender Generalization Subtype

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