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https://doi.org/10.33767/osf.i...
Article . 2023 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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King's Research Portal
Part of book or chapter of book . 2025
License: CC BY SA
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Open Science Framework
Other literature type . 2023
License: CC BY
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Thinking through generated writing

Authors: Mercedes Bunz;

Thinking through generated writing

Abstract

This article returns to the release of ChatGPT to study the mechanics of Large Language Models (LLMs) and to counterpose them against established theories of language and writing. Its aim is to explore the hypothesis that ‘generated writing’ is “the beginning of new writing”, a writing that has its own cultural logic and tendencies. To show this, the article revisits philosophical theories of writing, in particular those of Jacques Derrida and André Leroi-Gourhan, and reads them in light of the computational methods of LLMs to understand in what way ‘generated writing’ diverges from the writing we have known before.

Country
United Kingdom
Related Organizations
Keywords

Digital Humanities, ChatGPT, Large Language Models, bepress|Arts and Humanities|Digital Humanities, Derrida, AI, Writing, Leroi-Gourhan, Arts and Humanities, Generated Writing, bepress|Arts and Humanities

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid