AI in MA Thesis Writing: The Use of Lexical Patterns to Study the ChatGPT Influence

Abstract

This paper investigates the use of Artificial Intelligence (AI) in MA thesis writing, addressing a notable gap in existing research that primarily focuses on broader academic contexts. While AI's role in undergraduate essays and general academic writing has been explored, the specific use in the genre of MA theses, characterized by rigorous academic inquiry and advanced scholarly engagement, remains underexplored. This study examines the frequency and contextual usage of specific lexical items in 53 MA theses in linguistics, literature, discourse, and culture studies, aiming to identify patterns indicative of AI-generated content. Employing a systematic comparison of MA theses defended before, and after the release of AI text generators, the research tracks the usage of targeted lexical items to discern deviations suggestive of AI influence. Through analyzing these patterns, the study seeks to provide empirical insights into integrating AI technologies in graduate-level writing, contributing to theoretical understanding and offering practical implications for educational institutions and policymakers. The findings indicate a dramatic increase in the salience of specific lexical items frequently used by ChatGPT compared to the frequency of their use before the release of this text generator. The findings inform the ethical considerations and pedagogical strategies necessary for responsibly incorporating AI into graduate writing instruction, ensuring the integrity of scholarly communication practices.

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