Rhetorical moves of AI-generated abstracts and published research article abstracts in applied linguistics

Main Article Content

Division of Research Facilitation and Dissemination, Mahasarakham University
Banjong Burinprakhon
Intisarn Chaiyasuk
Anyarat Nattheeraphong

Abstract

Since abstracts play an important role in scientific publication, as summaries of research articles that help readers in assessing the significance of the work. To make the good abstract, generative AI technology may assist researcher to compose an abstract. Several researches study the abstract published by high-reputation journals, but there are not many studies that concern texts generated by recent technologies such as OpenAI’s ChatGPT. This study aims to identify rhetorical patterns of research article abstracts generated by OpenAI’s ChatGPT and the published abstract which generated by human. This study analyzed 60 research article abstracts of two corpora, employing the linguistics model of Hyland (2000). To analyze the data, the frequencies, and percentages of rhetorical moves used were employed. The results showed most common writing patterns of abstracts is P M Pr C when it generated by AI, whereas human-authored abstracts mostly adopt the I P M Pr C patterns. Furthermore, the study highlights that abstracts written by humans provide greater diversity compared to abstracts generated by AI.

Article Details

How to Cite
Maporn, S., Burinprakhon, B. ., Chaiyasuk, I. ., & Nattheeraphong, A. . (2024). Rhetorical moves of AI-generated abstracts and published research article abstracts in applied linguistics. HUSO Journal of Humanities and Social Sciences, 8(1), 162–176. retrieved from https://so06.tci-thaijo.org/index.php/husojournalpnru/article/view/265142
Section
บทความวิจัย (Research Article)

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