Haunting narratives: female entities and gender inequality in Indonesian horror films
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DOI: 10.1057/s41599-025-04815-x
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- Pimpatchanok Manaworapong & Neil Evan Jon Anthony Bowen, 2022. "Language, gender, and patriarchy in Mulan: a diachronic analysis of a Disney Princess movie," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
- Douglas Guilbeault & Solène Delecourt & Tasker Hull & Bhargav Srinivasa Desikan & Mark Chu & Ethan Nadler, 2024. "Online images amplify gender bias," Nature, Nature, vol. 626(8001), pages 1049-1055, February.
- Tara Anglelorenza Pricilly Dea & Aliefya Rachim Maharani, 2021. "Public interaction of health workers during the Covid-19 pandemic," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(6), pages 268-277, September.
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