Impact of Large Language Models on Academic Writing
Large language models (LLMs), such as ChatGPT, are increasingly used in scholarly literature, raising concerns about authenticity and originality. Detecting changes in writing style and vocabulary in biomedical research abstracts is crucial for research integrity.
Novel Data-Driven Approach
A new approach examines excess word usage to identify LLM involvement, providing a more unbiased and comprehensive analysis of LLM impact on scientific writing.
Quantifying LLM Usage
Analyzed over 14 million PubMed abstracts from 2010 to 2024, the study revealed a substantial rise in the number of excess words in 2024, indicating LLM influence in at least 10% of recent biomedical abstracts.
Transformative Effect of LLMs
The research highlights a significant shift in academic writing styles due to the advent of LLMs, raising important questions about research integrity and the future of academic writing.
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