ChatGPT and the Shaping of Literary, Cultural, and Media Discourses
DOI:
https://doi.org/10.21834/e-bpj.v11i37.7963Keywords:
ChatGPT, Artificial Intelligence, Cultural Studies, Media, Literary DiscourceAbstract
Scholars and media institutions have long shaped literary and cultural canons. In the digital era, tools like ChatGPT increasingly mediate knowledge in literature, culture, and media. This study explores how ChatGPT constructs discourse and whether it reinforces dominant canons or integrates diverse perspectives across English and French. Using a qualitative comparative approach, ten questions on postcolonial literature, feminist theory, and media criticism were analyzed. Findings show that English responses are more theoretically detailed, while French responses are more descriptive. The results suggest an implicit hierarchy of knowledge shaped by dominant canons, highlighting the need for critical use of AI in the humanities.
References
Ahmed, T. N., & Mahmood, K.A. (2024). A Critical Discourse Analysis of ChatGPT’s Role in Knowledge and Power Production. Arab World English Journal (AWEJ) DOI: https://doi.org/10.31235/osf.io/vfpqc
Special Issue on ChatGPT, April 2024: 184-196. DOI: https://dx.doi.org/10.24093/awej/ChatGPT.12 DOI: https://doi.org/10.24093/awej/ChatGPT.12
AlKhamissi, B., ElNokrashy, M.N., AlKhamissi, M., & Diab, M. (2024). Investigating Cultural Alignment of Large Language Models. ArXiv, abs/2402.13231. DOI: https://doi.org/10.18653/v1/2024.acl-long.671
Devinney, H., Björklund, J., Björklund, H. (2024). We don’t talk about that: case studies on intersectional analysis of social bias in large language models. In: Agnieszka DOI: https://doi.org/10.18653/v1/2024.gebnlp-1.3
Faleńska; Christine Basta; Marta Costa-jussà; Seraphina GoldfarbTarrant; Debora Nozza (ed.), Proceedings of the 5th workshop on gender bias in natural language processing (GeBNLP) (pp. 33-44). Association for Computational Linguistics.
Fairclough, N. (2023). Critical discourse analysis. In The Routledge handbook of discourse analysis (pp. 11-22). Routledge. DOI: https://doi.org/10.4324/9781003035244-3
Fleisig, E., Smith, G., Bossi, M., Rustagi, I., Yin, X., & Klein, D. (2024). Linguistic Bias in ChatGPT: Language models reinforce dialect discrimination—arXiv preprint arXiv:2406.08818. DOI: https://doi.org/10.18653/v1/2024.emnlp-main.750
Ghafouri, V., Agarwal, V., Zhang, Y., Sastry, N., Such, J., & Suarez-Tangil, G. (2023). AI in the gray: Exploring moderation policies in dialogic large language models vs. human answers in controversial topics. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 556-565). DOI: https://doi.org/10.1145/3583780.3614777
Ghio, A. (2024). Democratizing academic research with artificial intelligence: The misleading case of language. Critical Perspectives on Accounting, 98, 102687. https://doi.org/10.1016/j.cpa.2023.102687. DOI: https://doi.org/10.1016/j.cpa.2023.102687
Jameela, T., & Deepthi, N. G. (2023). The impact of ChatGPT in educational and organizational contexts: A comprehensive literature review. International Journal for Multidisciplinary Research, 5(5). https://www.ijfmr.com DOI: https://doi.org/10.36948/ijfmr.2023.v05i05.5624
Lo, Chung Kwan. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences. 13. 410. 10.3390/educsci13040410. DOI: https://doi.org/10.3390/educsci13040410
Rane, N.L. (2023). Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Arts and Humanities. SSRN Electronic Journal. DOI: https://doi.org/10.2139/ssrn.4603208
Silva, A. de O., & Janes, D. dos S. (2022). The emergence of ChatGPT and its implications for education and academic research in the 21st century. Review of Artificial Intelligence in Education, 3, e6. https://doi.org/10.37497/rev.artif.intell.educ.v3i00.6 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v3i00.6
Wang, W., Jiao, W., Huang, J., Dai, R., Huang, J., Tu, Z., & Lyu, M.R. (2023). Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. ArXiv, abs/2310.12481.
Yuan, H., Che, Z., Li, S., Zhang, Y., Hu, X., & Luo, S. (2024). The high-dimensional psychological profile and cultural bias of ChatGPT. ArXiv, abs/2405.03387.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ikram Douaou, Dr. Fatima-Zohra Iflahen

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.