Synthetic Genres: Expert Genres, Non-Specialist Audiences, and Misinformation in the Artificial Intelligence Age

Drawing on rhetorical genre studies, we explore research article abstracts created by generative artificial intelligence (AI). These synthetic genres—genre-ing activities shaped by the recursive nature of language learning models in AI-driven text generation—are of interest as they could influence i...

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Bibliographic Details
Published inJournal of technical writing and communication Vol. 55; no. 2; pp. 163 - 189
Main Authors Mehlenbacher, Brad, Balbon, Ana Patricia, Mehlenbacher, Ashley Rose
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.04.2025
Sage Publications Ltd
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Summary:Drawing on rhetorical genre studies, we explore research article abstracts created by generative artificial intelligence (AI). These synthetic genres—genre-ing activities shaped by the recursive nature of language learning models in AI-driven text generation—are of interest as they could influence informational quality, leading to various forms of disordered information such as misinformation. We conduct a two-part study generating abstracts about (a) genre scholarship and (b) polarized topics subject to misinformation. We conclude with considerations about this speculative domain of AI text generation and dis/misinformation spread and how genre approaches may be instructive in its identification.
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ISSN:0047-2816
1541-3780
DOI:10.1177/00472816231226249