Exploring the Impact of Artificial Intelligence on Academic Writing: A Bibliometric Analysis of Trends, Advancements, and Ethical Challenges

Abstract

This study investigates how artificial intelligence (AI) impacts academic writing, examining how it might improve language proficiency while addressing moral dilemmas. It explores AI's benefits and possible downsides via bibliometric analysis, emphasizing its impact on various academic fields and the necessity of a methodical, moral integration into language training. This review analyzes research on AI in academic writing using bibliometric methods. Publications from Scopus (2014-2024) were examined with the keywords “AI in academic writing." Data were processed through CSV, Excel, RIS, VOS viewer, and Map chart. The study identifies trends, top authors, institutions, and key research clusters in this domain. Artificial intelligence technologies, including ChatGPT and Grammarly, are acknowledged for their contributions to the improvement of writing fluency, grammatical precision, and reader engagement; however, apprehensions surrounding academic integrity and the ethical utilization of artificial intelligence continue to exist, underscoring the necessity for a judicious and ethical integration within academic contexts. This study explores the increasing significance of artificial intelligence (AI) in scholarly writing. AI applications such as ChatGPT and Jenni AI enhance writing proficiency but provoke ethical dilemmas, including issues of plagiarism and dependency. It is essential to reconcile the advantages of AI with ethical considerations.

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