A Feminist Stylistic study of AI-Generated and Human-Written Short Stores: A Comparative Study
Year: 2026
Type: article
Abstract: The rapid advancement of generative AI raises serious questions about potential differences in story construction between human and AI narratives, particularly in terms of cultural and social artifacts. The research addresses the gap in feminist stylistic studies on AI-generated fiction by conducting a comparative analysis of feminist representations in AI-generated and human-written fiction. By analyzing these narratives, the current research sheds light on the extent to which AI-generated short stories stylistically compare to human-written short stories in terms of feminism. The research is guided by two questions: How do the linguistic choices used in AI-generated and human-written short stories, when analyzed through a feminist lens, reflect or challenge patriarchal thinking? And what are the main similarities and differences between AI-generated and human-written short stories in respect to feminist portrayal? The analysis employs Mills' (1995) feminist stylistic model, with emphasis on endearment terms, metaphor, transitivity, fragmentation, and focalization. The research examines one human-written short story titled Dinner Conversation (2020) and one AI-generated short story titled The Crack in the Bowl (2026) using a carefully standardized prompting process. The findings indicate that both stories perpetuate traditional gender hierarchies, albeit through diverse linguistic mechanisms. According to the research, AI, specifically ChatGPT-5.2, is more progressive in terms of gendered assumptions than the human author. In human-written stories, patriarchy is more pervasive and stable, whereas in AI-generated stories, it is more nuanced and sometimes contradictory. This research adds to the emerging studies on AI storytelling by demonstrating how AI-generated fiction can both duplicate and disrupt traditional gender stereotypes.
DOI: 10.37654/aujll846
Authors: Noor Ahmed, Nawal Abbas
Institution: University of Baghdad
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
SDG: Gender equality
Open Access status: hybrid
OpenAlex ID: W7214917829
