Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Sintaksis: Publikasi Para Ahli Bahasa dan Sastra Inggris
Susilo Rifan Mawanda
Universitas Negeri Medan
Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Human or AI? Linguistic Features of AI-Generated and Human-Written Academic Texts: A Corpus-Based Study Anisa Fitri Lubis; Intan Salsabila; Shevi Nasya Maharani; Susilo Rifan Mawanda
Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris Vol. 4 No. 6 (2026): November : Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/sintaksis.v4i6.3076

Abstract

Generative artificial intelligence (AI) is transforming academic writing and challenging conventional understandings of authorship, linguistic competence, and academic voice. This study explores the linguistic characteristics of AI-generated and human-written academic texts and examines writers’ perceptions of authorship, linguistic voice, and AI-mediated writing. A qualitative case study involved 12 lecturers and postgraduate students in an Indonesian higher education context with experience writing academic texts in English and using generative AI. Data were collected through analyses of human-written and comparable AI-generated texts and semi-structured interviews. Thematic analysis using a corpus-informed qualitative approach focused on lexical, syntactic, discourse, metadiscourse, and authorial-voice patterns. Four themes emerged: negotiation of authorship, tension between linguistic smoothness and human voice, formulaic academic language, and AI’s shifting role from writing tool to writing partner. The findings suggest that linguistic sophistication does not necessarily indicate authorial authenticity. Instead, AI-mediated writing is better understood as a continuum of linguistic mediation rather than a binary distinction between human and machine production. The study connects corpus linguistics, metadiscourse, and authorial voice to conceptualize linguistic agency in AI-mediated academic discourse. It also highlights the need for AI literacy and writing pedagogy that prioritizes critical evaluation, rhetorical agency, and responsibility for academic language.
Co-Authors Anisa Fitri Lubis Intan Salsabila Shevi Nasya Maharani