ChatGPT research hotspots, frontiers, and trends - Analysis of WOS data based on CiteSpace

This article examines the academic area, research subjects, and development progression of current ChatGPT research using the Web of Science (WoS) database and the visual bibliometric program CiteSpace. It has been discovered that ChatGPT has received a significant amount of attention from the acade...

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Published in2023 International Conference on Computer Engineering and Distance Learning (CEDL) pp. 63 - 68
Main Authors Zheng, Yonghua, Song, Baocheng, Tang, Anyihan
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.06.2023
Subjects
Artificial Intelligence
Bibliometrics
Chatbots
ChatGPT
CiteSpace
Collaboration
Computer aided instruction
Correlation
Ethics
LLMs
Visualization
Online AccessGet full text
DOI10.1109/CEDL60560.2023.00020

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Abstract This article examines the academic area, research subjects, and development progression of current ChatGPT research using the Web of Science (WoS) database and the visual bibliometric program CiteSpace. It has been discovered that ChatGPT has received a significant amount of attention from the academic community since its introduction, and studies on ChatGPT have focused on the issues of "technical optimization," "practical application," and "ethical risks," which have obvious similarities and correlations. Combining the phases of ChatGPT research might help to understand the research landscape and the evolution of ChatGPT, and future ChatGPT research should continue to broaden research perspectives, update research procedures, and improve communication and collaboration.
AbstractList This article examines the academic area, research subjects, and development progression of current ChatGPT research using the Web of Science (WoS) database and the visual bibliometric program CiteSpace. It has been discovered that ChatGPT has received a significant amount of attention from the academic community since its introduction, and studies on ChatGPT have focused on the issues of "technical optimization," "practical application," and "ethical risks," which have obvious similarities and correlations. Combining the phases of ChatGPT research might help to understand the research landscape and the evolution of ChatGPT, and future ChatGPT research should continue to broaden research perspectives, update research procedures, and improve communication and collaboration.
Author Song, Baocheng
Tang, Anyihan
Zheng, Yonghua
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Snippet This article examines the academic area, research subjects, and development progression of current ChatGPT research using the Web of Science (WoS) database and...
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SubjectTerms Artificial Intelligence
Bibliometrics
Chatbots
ChatGPT
CiteSpace
Collaboration
Computer aided instruction
Correlation
Ethics
LLMs
Visualization
Title ChatGPT research hotspots, frontiers, and trends - Analysis of WOS data based on CiteSpace
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