ARCHIVES
VOL. 2, ISSUE 4 (2026)
Prompt, platform, and plot: Human–AI co-authorship and narrative agency in algorithmic storytelling
Authors
Komal Purohit, Dr. Monika Choudhary
Abstract
Generative artificial intelligence has altered narrative production by
placing text generation inside an interactive exchange between a human user and
a computational system. Unlike conventional digital texts, AI-generated stories
can be modified through conversational prompts, revised through successive
iterations, and shaped by a user who may function simultaneously as reader,
editor, director, and co-producer. This paper examines the problem of narrative
agency in such human–AI collaborations. It asks: who controls a story when the
human supplies instructions but the machine supplies linguistic realization?
Drawing on Roland Barthes’s critique of authorial authority, Gérard Genette’s
account of narrative discourse, Marie-Laure Ryan’s work on interactivity and
digital narrative, and N. Katherine Hayles’s account of human–machine
relations, the paper argues that generative storytelling is best understood as
a distributed narrative process rather than a simple transfer of authorship
from human to machine. The paper proposes a four-level model of
co-authorship—intention, prompting, generation, and curation—and demonstrates
how each level contributes differently to narrative form. It further
distinguishes computational generation from narrative agency, since producing
textual sequences is not identical to deciding their cultural purpose. The
study concludes that AI-mediated storytelling expands the concept of the author
into a networked function while retaining an important role for human
selection, interpretation, and responsibility.
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Pages:1-3
How to cite this article:
Komal Purohit, Dr. Monika Choudhary " Prompt, platform, and plot: Human–AI co-authorship and narrative agency in algorithmic storytelling". World Journal of Research in All Subject, Vol 2, Issue 4, 2026, Pages 1-3
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