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Identifying gender bias in blockbuster movies through the lens of machine learning. (arXiv:2211.12504v1 [cs.CL])
Nov. 24, 2022, 7:17 a.m. | Muhammad Junaid Haris, Aanchal Upreti, Melih Kurtaran, Filip Ginter, Sebastien Lafond, Sepinoud Azimi
cs.CL updates on arXiv.org arxiv.org
The problem of gender bias is highly prevalent and well known. In this paper,
we have analysed the portrayal of gender roles in English movies, a medium that
effectively influences society in shaping people's beliefs and opinions. First,
we gathered scripts of films from different genres and derived sentiments and
emotions using natural language processing techniques. Afterwards, we converted
the scripts into embeddings, i.e. a way of representing text in the form of
vectors. With a thorough investigation, we found …
arxiv bias gender gender bias machine machine learning movies
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