Startseite The emergence of post-narrativity in the era of artificial intelligence: a non-anthropocentric perspective on the new ecology of narrative agency
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The emergence of post-narrativity in the era of artificial intelligence: a non-anthropocentric perspective on the new ecology of narrative agency

  • Jin Young Lee und Sung Do Kim EMAIL logo
Veröffentlicht/Copyright: 6. September 2023

Abstract

In the age of artificial intelligence, writing machines or robot authors have already begun to produce narrative texts in a variety of genres, including short stories and poetry, as well as journalistic articles. This article is based on the prospect that the narrative ecosystem is in a transitional period of decisive disconnection as it enters the era of artificial intelligence. The primary force driving this transition is the formidable execution of artificial intelligence algorithms, which fully automate narrative communication and narrative works. This article attempts to lay the groundwork for building a new paradigm of post-narrativity through a critical examination of several detailed themes in narrative semiotics and non-anthropocentric narratology. The process of narrative creation based on artificial intelligence algorithms is a key condition that constitutes post-narrativity. This presupposes a non-anthropocentric view. In the landscape of post-narrativity, human writers, paper books, computer screens, and invisible narrative algorithms are all agents with equal influence. Automated narrative production by algorithms accelerates the repositioning of other existing media and actors, and changes the narrative ecosystem by incorporating new elements into activities such as production, distribution, and reception of narratives.


Corresponding author: Sung Do Kim, Korea University, Seoul, South Korea, E-mail:

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Received: 2023-01-05
Accepted: 2023-06-12
Published Online: 2023-09-06
Published in Print: 2023-09-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 28.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/sem-2023-0002/html
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