Bibliometric analysis of research on ChatGPT: using VOSviewer

Abstract

ChatGPT, a generative large-scale language model released by OpenAI, is referred to as a technology revolution as significant as the invention of the internet. Considering that ChatGPT has an essential impact on translation, coding, academic writing, etc., this study used bibliometric analysis to provide an overview of research on ChatGPT. A comprehensive review of the Web of Science (WOS) Core Collection related to ChatGPT was carried out. Using VOSviewer (version 1.6.19), the research analyzed co-occurrence and co-citation of keywords and research networks as well (e.g., countries and institutions). Altogether, a total of 206 papers (from 2020-2023) were retrieved from WOS for review. Through the keyword clustering analysis, it was found that Cluster 1 contained seven keywords, among which, "Chatbots" was one of the main keywords in this cluster and had close connections with other clusters. As for the national collaboration networks, most of the collaborative relationships involved the United States, China, and Australia. Regarding institutional cooperation related to ChatGPT, China held three out of the top five positions based on the total link strength, suggesting a high level of importance given to ChatGPT in China. The research provides guidance and inspiration for applications of ChatGPT in the education sector.

Ähnliche Arbeiten