DIFFERENCES BETWEEN AI-GENERATED ANALYSIS AND HUMAN ANALYSIS IN LITERARY WORKS

Authors

  • Urazaliyeva Madina Gofurovna Doctor of philosophy in philological sciences (PhD) Senior teacher of “Roman-german languages” department “Partnership for Peace“ Center, UR MD, Tashkent , Uzbekistan

DOI:

https://doi.org/10.55640/

Keywords:

artificial intelligence, literary analysis, human interpretation, reader response, emotion in literature, digital humanities.

Abstract

This article examines the main differences between AI-generated literary analysis and human literary analysis. It shows that artificial intelligence can analyze texts quickly, identify themes, patterns, and emotional language, and compare large numbers of literary works. However, AI does not have real emotions, cultural intuition, or personal reading experience. Human literary analysis, in contrast, is strongly connected to emotion, imagination, cultural knowledge, and creative interpretation.
The study compares responses produced by three AI systems—ChatGPT, DeepSeek, and Google Gemini—using classic literary works such as Frankenstein, Testament of Youth, The Picture of Dorian Gray, and Wuthering Heights. The analysis demonstrates that although AI systems differ in their analytical methods, all of them lack genuine emotional experience and rely on language patterns and data. The article concludes that AI should be used as a supportive analytical tool in literary studies, while interpretation, emotional understanding, and meaning-making should remain the responsibility of human readers and scholars.

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References

1.Stephen Ramsay, Reading Machines: Toward an Algorithmic Criticism (Urbana: University of Illinois Press, 2011), 3–5.

2.N. Katherine Hayles, How We Think: Digital Media and Contemporary Technogenesis (Chicago: University of Chicago Press, 2012), 42–45.

3.Terry Eagleton, Literary Theory: An Introduction (Oxford: Blackwell, 1996), 8–10.

4.Louise M. Rosenblatt, The Reader, the Text, the Poem (Carbondale: Southern Illinois University Press, 1978), 16–18.

5.Stephen Marche, “The Next Big Thing: AI-Generated Fiction,” The New Yorker, January 9, 2012.

6.Urazaliyeva M.G‘. The principles of formation scientific research methodology based on the theory of receptive poetics // The American Journal of Social Science and Education Innovations // The USA journals, 2024. – № 6 (06). ISSN 2689-100X. SJIF impact factor 2024: 8.043. – P. 251-254.

7.Urazaliyeva M.G‘., Makhmudova N.A. Retseptiv poetika nazariyasining xususiyatlari va tadqiqot obyekti / International Conference on Developments in Education. International scientific conference. – Toronto, Canada, 2023. – P. 16-19.

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Published

2026-01-14

How to Cite

DIFFERENCES BETWEEN AI-GENERATED ANALYSIS AND HUMAN ANALYSIS IN LITERARY WORKS. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(01), 748-762. https://doi.org/10.55640/

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