Year: 2025
Type: conference-paper
Abstract: AI tools are disrupting the English-dominated academic writing paradigm, by enhancing efficiency and supporting tasks from grammar checking to content generation. However, little is known about how cultural and linguistic diversity shapes the use of these tools. This study analyzes 168 AI usage declarations from 8859 papers to explore how non-native English speakers and international teams utilize AI tools in academic writing. Findings reveal that non-native scholars rely more heavily on tools like DeepL and Grammarly for translation and grammar checking, while international teams prioritize grammar consistency to unify cross-cultural communication. These patterns highlight the unique needs of multilingual and globally collaborative researchers. The study calls for tailored AI tool designs and journal policies to better support linguistic diversity and equitable access in academia.
Author: ZIYANG XU
Institution: University of Oklahoma
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414790076