A Comparative Study of AIGC based on Word2Vec and BERTopic

• 1、School of Management, Wuhan University of Science and Technology, Wuhan 430065, China

Abstract：The Third Plenary Session of the 20th CPC Central Committee emphasized that education, science and technology, and talent are foundational and strategic pillars for Chinese-style modernization. Against the backdrop of the new era strategy of building a culturally strong nation, artificial intelligence, represented by large models and AIGC (generative artificial intelligence), has been advancing rapidly, driving a new wave of technological revolution and industrial transformation. Generative AI has emerged as a strategic force for enhancing industrial competitiveness and promoting high-quality economic growth.This paper collects data from four sources-China News, CNKI (China National Knowledge Infrastructure), Zhihu, and Sina Weibo-to conduct a comparative study on the differences in AIGC-related focus areas among China\'s official media, academic platforms, and social platforms. First, data were gathered by collecting AIGC-related news from China News, abstracts of AIGC-related academic literature from CNKI, and AIGC-related posts and Q&A content from Sina Weibo and Zhihu, forming a comprehensive corpus.Using methods such as word frequency analysis, analysis of words similar to "AIGC," BERTopic topic modeling, and word vector t-SNE dimensionality reduction visualization, this study compares the focus areas of official media, academic platforms, and social platforms on AIGC. It reveals the key areas of interest on each platform and their relationships with AIGC from multiple dimensions. Adopting a data-driven research paradigm, this paper provides new perspectives for the future development and practical research of AIGC.

Keywords： AIGC Word2Vec BERTopic Comparative Study