Leveraging ChatGPT for Academic Research and Scholarly Writing (Nano Review)

Abstract

Abstract The proliferation of advanced large language models (LLMs) such as ChatGPT is fundamentally reshaping academic research and scholarly writing. This nano review critically evaluates the dual and often paradoxical role of these tools, analyzing their utility as assistive instruments for literature synthesis, drafting, and data interpretation, while concurrently examining them as central subjects of intense ethical debate. The review highlights how LLMs can accelerate ideation and democratize access to complex writing tasks, yet simultaneously pose profound risks related to research integrity—including citation hallucination, authorship ambiguity, and the potential degradation of critical scholarly skills. A synthesis of current literature underscores that the responsible integration of generative AI in academia necessitates transparent usage policies, rigorous human oversight, and a reconceptualization of scholarly workflows that prioritizes augmentation over automation to preserve the core values of originality and veracity. Keywords: ChatGPT, large language models (LLMs), scholarly writing, research integrity, academic ethics, AI-assisted research, citation hallucination

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