Research Hotspots and Trends of ChatGPT Based on Knowledge Graph
In order to systematically summarize research hotspots and analyze future research trends,the visualization analysis function of Citespace software is used to comb domestic and foreign academic literature on ChatGPT by taking CNJI and Web of Science as data sources.The author,country,research institution,keywords and other related graphs were constructed for visual analysis,in order to provide reference for subsequent research.It is found that the research focuses on the application of ChatGPT,risk regulation and development prediction,but there are shortcomings in the main definition of ChatGPT,the relationship between ChatGPT technological innovation and policy regulation,and the application of diversified research methods of ChatGPT.Future research should grasp the fundamental idea of standardization-guided development,prevent application risks by building relevant institutional systems and promoting technical supervision,reconstruct human-machine relationship by strengthening departmental cooperation and theoretical research,and build a knowledge reform system by changing the subject and presentation of knowledge production,so as to promote the development of ChatGPT in a direction conducive to human happiness.