From Antigone and The Injustice to Dou E to AI Writing: Cross-Cultural Structure of Female Silence and Its Algorithmic Reproduction-A Comparative Prompt-Generation Study with DeepSeek
DOI: https://doi.org/10.62381/ACS.HEED2026.32
Author(s)
Zhangnarong Liu
Affiliation(s)
Beijing Normal-Hong Kong Baptist University (BNBU), Zhuhai, Guangdong, China
Abstract
The link between biases in generative AI and the narrative structures of female silence in literary traditions remains underexamined. This exploratory study addresses this gap by conducting a qualitative, prompt-based close reading of a single large language model, DeepSeek (version V3), across three controlled groups of gender-swapped prompts. Taking Antigone and The Injustice to Dou E as the anchors, this study extracts a three-dimensional cross-cultural mechanism of female silence: structural closure of appeal channels, recourse to supernatural forces as a final remedy, and exclusionary endings with no institutional rehabilitation. These three groups of gender-controlled experiments on DeepSeek have been converted into prompts. This article uses textual analysis to systematically track and compare the differentiated response path of generative AI in the narrative of male and female protagonists. Close reading shows that under the same narrative restrictions, female-led works fully reproduce the chain of tragic silencing, and male-led works systematically retain the secular institutional correction path. Cross-cultural research has shown that the model is more likely to frame the suffering of women through Chinese “wrongful woman” archetypes, lose the spirit of restorative justice, and add Greek heroic resistance ideas and modern legal relief to the story of men. This study uncovers a covert algorithmic bias: AI does not passively replicate corpora but switches between two narrative rule sets according to protagonist gender. The new method of prompt-based close reading does not require programming skills and can help humanities scholars carry out algorithmic criticism.
Keywords
AI-Generated Writing; Cross-Cultural Comparison; Gender Bias; Female Silence
References
[1] Bolukbasi, T., Chang, K.-W., Zou, J. Y., Saligrama, V., & Kalai, A. T. (2016). Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In Advances in Neural Information Processing Systems 29 (NeurIPS 2016) (pp. 4349-4357).
[2] Crăiuț, M. V., & Iancu, I. R. (2022). Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence. Human Technology, 18(3), 297-315.
[3] Kim, A., Cho, M., Ahn, J., & Sung, Y. (2019). Effects of gender and relationship type on the response to artificial intelligence. Cyberpsychology, Behavior, and Social Networking, 22(4), 249-253.
[4] Leavy, S. (2018, May). Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning. In Proceedings of the 1st International Workshop on Gender Equality in Software Engineering (pp. 14-16).
[5] Li, X. L. (2004). The Injustice to Dou E from the perspective of gender. Journal of Southeast University (Philosophy and Social Science Edition), 6(06), 109-112, 116-127. https://doi.org/10.13916/j.cnki.issn1671-511x.2004.06.023
[6] Li, Y. (2026). A comparative study of aesthetics between ancient Greek drama and traditional Eastern theatre. Journal of Humanities and Social Sciences Studies, 8(5), 158-167.
[7] Lyu, F. Y. (2026). The collapse and reconstruction of order: On the tragic implications of the “heaven and earth” imagery in The Injustice to Dou E. Yulufeng, 3, 25-27.
[8] Tang, A. (2023). An analysis of differences between Greek tragedy and classical Chinese tragedy (Yuanqu). International Journal of Literature Studies, 3(2), 01-05.
[9] Xiong, S. Y. (2023). Women and power in “Antigone.” Mingjia Mingzuo, (16), 39-43.