数字图书馆论坛2025，Vol.21Issue(2)：35-46,12.DOI:10.3772/j.issn.1673-2286.2025.02.004
公众对ChatGPT的认知
Public Perception of ChatGPT:A Study of Themes and Sentiments Based on Cross-Platform User Generated Content
摘要
Abstract
User generated content(UGC)plays a key role in understanding the attitudes of different user groups towards emerging technologies.We can comprehensively evaluate the public's attitudes towards ChatGPT through cross-platform content analysis.Based on the UGC of six social media platforms,the LDA-SBERT model is constructed through vector fusion to deeply mine the implicit topic features in UGC.The Chinese sentiment analysis model BERT-wwm is further used to analyze the public's emotional attitudes under different topics and platforms.The study shows that ChatGPT-related UGC can be classified into 14 categories in four dimensions:economic and industrial impact,technical application and experience,social relations and impact,and security and ethical risks.Cross-platform comparisons show that the discussion of related topics between platforms has both commonalities and characteristics,showing different platform characteristics.The sentiment analysis results show that due to differences in cognitive perspectives and future expectations,the public's attitude towards ChatGPT is obviously polarized.This study not only helps technology developers and policymakers better understand public attitudes toward AI technology,but also provides theoretical support for content management and public opinion guidance on social media platforms.关键词
跨平台/ChatGPT/社交媒体/用户生成内容/LDA-SBERT模型/公众认知Key words
Cross Platform/ChatGPT/Social Media/User Generated Content/LDA-SBERT Model/Public Perception引用本文复制引用
黄本涛,李璨,吴红,郭姗姗..公众对ChatGPT的认知[J].数字图书馆论坛,2025,21(2):35-46,12.基金项目
本研究得到国家自然科学基金面上项目"在线医疗团队协作模式与绩效提升策略研究"(编号:72371111)、国家自然科学基金青年科学基金项目"基于多渠道融合的医疗服务模式及其影响机制研究"(编号:72001087)资助. （编号:72371111）
