Academic discourse on ChatGPT in social sciences: A topic modeling and sentiment analysis of research article abstracts.

ABSTRACT: The rapid emergence of ChatGPT has sparked extensive academic discourse across multiple fields. This study focuses on such discourse within the social sciences by examining how scholars frame and evaluate ChatGPT through research article abstracts. Drawing on 1,227 SSCI-indexed abstracts published between 30 November 2022 and 30 November 2024, we adopt a two-step natural language processing approach. First, we apply topic modeling to identify major thematic patterns in academic discussions of ChatGPT. Then, we perform sentiment analysis to examine how scholars' evaluative attitudes are discursively constructed across these thematic areas. Topic modeling reveals six key themes: artificial intelligence (AI) and technology communication, education and learning tools, user perception and adopt

SUBMITTER: Tao Y 

PROVIDER: S-EPMC12520389 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature