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ChatGPT’nin Kurgusal Anlatı Üretme Yeterliliği Üzerine Bir İnceleme

Year 2025, Volume: 10 Issue: 1, 10 - 31, 30.04.2025

Abstract

ChatGPT, günümüzde insan hayatının kaçınılmaz bir parçası hâline gelen yapay zekâ modellerinin en gelişmişlerinden biridir. Kullanım alanları bir hayli çeşitli olan ChatGPT, genel olarak bir insanın yapabileceği birçok işi yapan çok yönlü bir araç niteliğindedir. Yapay zekanın “doğal dil işleme” alanı içerisinde bulunan bu model, insan dilini anlamak ve yorumlamak üzere geliştirilmiştir. Piyasaya sunulduğu andan itibaren, sağladığı imkânların yanında kısıtlılıkları ve riskleri de tartışma konusu olmuş, bu konularda şimdiden çok sayıda çalışma ortaya konmuştur. Bu çalışmada ChatGPT’nin kurgusal anlatı üretme yeterliliği üzerinde durulacaktır. İnsanlar tarafından yazılan kurgusal metinlerdeki gibi bir söylem çeşitliliği sağlayıp sağlamadığı, serbest dolaylı söylem gibi karmaşık bilinç yansıtma tekniklerini ne ölçüde kullandığı ve genel olarak karakter, mekân, olay örgüsü vb. temel anlatı unsurlarını hangi stratejilerle işlevsel hâle getirdiği incelenecektir. Bu amaçla, ChatGPT’ye 20 adet Türkçe komut girilerek 20 farklı kurgusal anlatı (hikâye/öykü) üretmesi sağlanmıştır. Yazıldıkları anlatı durumlarına göre tasnif edilen bu anlatılar ilgili hususlara göre analize tabi tutulacak ve çeşitli bulgulara ulaşılacaktır.

Ethical Statement

Bu çalışma için etik kurul onayı gerekmemektedir.

Supporting Institution

TÜBİTAK

Project Number

124K070

Thanks

Bu çalışma, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK) tarafından 124K070 numaralı proje ile desteklenmiştir. Projeye verdiği destekten ötürü TÜBİTAK’a teşekkürlerimizi sunarız.

References

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  • Dervişcemaloğlu, Bahar (2019). “Metalepsis Üzerine”. Atatürk Üniversitesi Türkiyat Araştırmaları Enstitüsü Dergisi. Sayı 66, s. 141-154.
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A Study On ChatGPT’s Ability to Generate Fictional Narratives

Year 2025, Volume: 10 Issue: 1, 10 - 31, 30.04.2025

Abstract

ChatGPT is one of the most advanced artificial intelligence models that has become an integral part of everyday human life. ChatGPT, whose areas of usage are highly diversified, is generally a versatile tool capable of performing many tasks that a human can do. This model, which belongs to the field of “Natural Language Processing (NLP)” within artificial intelligence, has been developed to understand and interpret human language. Its limitations and risks have also become a subject of discussion alongside the benefits it has provided since its release, and many studies have already been conducted on these topics. In this paper, emphasis will be placed on ChatGPT’s ability to generate fictional narratives. It will be investigated whether it handles discursive diversity in the same way as fictional texts written by humans, to what extent it has used complex consciousness representation techniques such as free indirect discourse and, in general, which strategies it has employed to make basic narrative components like character, setting, and plot functional. For this purpose, 20 prompts were given to ChatGPT, and it was instructed to generate 20 different fictional narratives (stories). The narratives, classified according to the narrative situations in which they were generated, will be analyzed, leading to various findings.

Project Number

124K070

References

  • Aksoy, Hüseyin (2023). “Folklor ve Gelenek Kavramlarına ‘ChatGPT’nin Yazdığı Masallar Üzerinden Bakmak”. Korkut Ata Türkiyat Araştırmaları Dergisi Özel Sayı 1 (Cumhuriyetin 100. Yılına), 524-536. https://doi.org/10.51531/korkutataturkiyat.1361382
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  • Alber, Jan (2018). “They-Narratives”. Pronouns in Literature-Positions and Perspectives in Language. Alison Gibbons ve Andrea Macrae (Ed.). Londra: Palgrave Macmillan, s. 131-150.
  • Andersson, Greger ve Sandberg Tommy (2018). “Sameness versus Difference in Narratology: Two Approaches to Narrative Fiction”. Narrative. 26/3, s. 241-261.
  • Ball, Philip (2023). “ChatGPT Is a Mirror of Our Times”. Technology. 48, s. 80-87.
  • Banfield, Ann (2015 [1982]). Unspeakable Sentences: Narration and Representation in the Language of Fiction. New York: Routledge.
  • Baumgartner, Christian (2023). “The opportunities and pitfalls of ChatGPT in clinical and translational medicine”. Clinical and Translational Medicine. 13:e1206, Doi Number: https://doi.org/10.1002/ctm2.1206
  • Ceyhan Akça, Nesime vd. (2024). Yapay Zekânın Edebiyatta Kullanım Serüveni. RumeliDE Dil Ve Edebiyat Araştırmaları Dergisi(39), 283-306. https://doi.org/10.29000/rumelide.1470139
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  • ChatGPT. “Karanlık Yüzleşme (Metin 18)”. https://chatgpt.com/share/2f73bbfd-2f3d-4315-8c8d-fa5505e28265 (erişim 10 Temmuz 2024, 00:25).
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  • ChatGPT. “Kurgunun Çöküşü (Metin 2)”. https://chatgpt.com/share/188c610a-6694-47ce-bc4d-44f02f122dbd, (erişim 28 Haziran 2024, 01:33).
  • ChatGPT. “Sadakatsiz (Metin 12)”. https://chatgpt.com/share/62ba9c84-0408-4c8b-ba6e-57d22c354e1f (erişim 9 Temmuz 2024, 23:31).
  • ChatGPT. “Sonsuz Karanlık (Metin 17)”. https://chatgpt.com/share/20c25fbf-6b6c-4e3b-ad9c-16483a836909 (erişim 11 Temmuz 2024, 23:14).
  • ChatGPT. “Sürprizlerle Dolu Bir Akşam (Metin 16)”. https://chatgpt.com/share/2a3b351f-0176-4b15-881b-2772d19c395b (erişim 10 Temmuz 2024, 00:10).
  • ChatGPT. “Yaralı Zamanlar (Metin 20)”. https://chatgpt.com/share/229c2bfb-a3e1-456b-92b1-b6e9c451c49e (erişim 10 Temmuz 2024, 00:39).
  • ChatGPT. “Yitip Giden Hayat (Metin 8)”. https://chatgpt.com/share/da0a72c4-5286-4cc8-b2fd-6ab8f0c232ef, (erişim 9 Temmuz 2024, 22:58).
  • Chatman, Seymour (1980 [1978]). Story and Discourse. Ithaca and London: Cornell University Press.
  • Cheng, Hao-Wen (2023). “Challenges and Limitations of ChatGPT and Artificial Intelligence for Scientific Research: A Perspective from Organic Materials”. AI. 4/2 401–405, Doi Number: https://doi.org/10.3390/ai4020021
  • Cohn, Dorrit (1978). Transparent Minds. Princeton: Princeton University Press.
  • Cooper, Grant (2023). “Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence”. Journal of Science Education and Technology. 32/3, s. 444-452.
  • Dervişcemaloğlu, Bahar (2019). “Metalepsis Üzerine”. Atatürk Üniversitesi Türkiyat Araştırmaları Enstitüsü Dergisi. Sayı 66, s. 141-154.
  • Dervişcemaloğlu, Bahar (2022). Çözülemeyen Bulmaca: Anlatıcı Üzerine Tartışmalar. İstanbul: Dergâh Yayınları.
  • Fludernik, Monika (2011). “The Category of ‘Person’ in Fiction: You and We Narrative-Multiplicity and Indeterminacy of Reference”. Current Trends in Narratology. Greta Olson (Ed.). Berlin: De Gruyter, s. 101–141.
  • Fludernik, Monika (1993). The Fictions of Language and the Languages of Fiction. London: Routledge.
  • Graves, Mark (2023). “ChatGPT’s Significance for Theology”. Theology and Science. 21/2, s. 201-204, Doi Number: https://doi.org/10.1080/14746700.2023.2188366
  • Gunnell, Marshall (2023). “10 Tasks You Can Do with ChatGPT”. PCWorld. Mayıs sayısı, s. 86-92.
  • Homolak, Jan (2023). “Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma”. Croatian Medical Journal. 64, s. 1-3, Doi Number: https://doi.org/10.3325/cmj.2023.64.1
  • Ilıcak, N. Gamze ve Kemal Çinko (2021). “Yapay Zekânın Yarattığı Masal: Prenses ile Tilki”. Uluslararası Türkçe Edebiyat Kültür Eğitim (TEKE) Dergisi, 10(2), 703-719.
  • Jacobsen, David (2023). ChatGPT For Writers: Learn How to Use ChatGPT to Write Better, Faster, and Smarter (Both Fiction and Nonfiction) - Tips, Tricks, and Examples To Improve Your Writing Process using ChatGPT. Independently published.
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There are 67 citations in total.

Details

Primary Language Turkish
Subjects Literary Theory
Journal Section EDEBİYAT / ARAŞTIRMA MAKALELERİ
Authors

Bahar Dervişcemaloğlu 0000-0003-1313-991X

Ebru Özlem Yılmaz 0000-0002-7347-3285

Project Number 124K070
Early Pub Date April 30, 2025
Publication Date April 30, 2025
Submission Date January 1, 2025
Acceptance Date January 28, 2025
Published in Issue Year 2025 Volume: 10 Issue: 1

Cite

APA Dervişcemaloğlu, B., & Yılmaz, E. Ö. (2025). ChatGPT’nin Kurgusal Anlatı Üretme Yeterliliği Üzerine Bir İnceleme. Söylem Filoloji Dergisi, 10(1), 10-31.