Using data science to understand the film industry’s gender gap
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DOI: 10.1057/s41599-020-0436-1
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- Sen Jia & Thomas Lansdall-Welfare & Saatviga Sudhahar & Cynthia Carter & Nello Cristianini, 2016. "Women Are Seen More than Heard in Online Newspapers," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-11, February.
- Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
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Cited by:
- Muhammad Junaid Haris & Aanchal Upreti & Melih Kurtaran & Filip Ginter & Sebastien Lafond & Sepinoud Azimi, 2023. "Identifying gender bias in blockbuster movies through the lens of machine learning," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
- Johann Valentowitsch, 2023. "Hollywood caught in two worlds? The impact of the Bechdel test on the international box office performance of cinematic films," Marketing Letters, Springer, vol. 34(2), pages 293-308, June.
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