AI In Academic Publishing for Non-Native English Speakers: The Good, the Bot, and the Ugly

GÖNÜLAL T., GÜÇLÜ R., GÜÇLÜ S.

Learned Publishing, cilt.39, sa.3, 2026 (SSCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 3
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1002/leap.2070
  • Dergi Adı: Learned Publishing
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Information Science and Technology Abstracts, INSPEC, Library, Information Science & Technology Abstracts (LISTA), MLA - Modern Language Association Database
  • Anahtar Kelimeler: academic publishing, AI ethics, artificial intelligence, non-native English speakers
  • Yozgat Bozok Üniversitesi Adresli: Evet

Özet

This exploratory study investigated the impact of artificial intelligence (AI) tools on academic publishing for non-native English-speaking researchers. Through a mixed-methods convergent parallel design, it examined how these scholars utilize AI tools, their perceived benefits, and concerns regarding AI's influence on academic publishing. Data were collected from 105 non-native English-speaking academics coming from 25 language backgrounds. Participants primarily employed AI tools for grammar improvement, writing style enhancement, and translation, while maintaining control over higher-level intellectual tasks such as organizing manuscripts. Three key dimensions of the perceived impact of AI were identified in this study: the good, reducing linguistic inequalities by improving paper quality and decreasing language-related challenges; the bad, involving inaccurate or misleading AI suggestions, over-reliance on AI tools, and diminished engagement with manuscripts; and the ugly, characterized by failure to disclose AI use, lack of clear guidelines for responsible AI integration in research, homogenization of academic writing, and the emergence of new forms of inequality. The study concluded with several recommendations for individual researchers, academic institutions, and publishers and journals to promote the ethical and effective use of AI in academic publishing.