智能分析国内外互联网信任研究:AI驱动的文本识别与可视化  

An Intelligent Analysis of Global Internet Trust Research: AI-Powered Text Recognition and Visualization

作　　者：黄晓晔[1] 吴琰 

机构地区：[1]河海大学马克思主义学院,江苏 南京 [2]欧文智能,加拿大 蒙特利尔

出　　处：《统计学与应用》2024年第6期2362-2374,共13页Statistical and Application

基　　金：“移动互联网时代中国社会信任问题研究”(国家社会科学基金项目号:18BSH036)、“新时代城乡社区治理体系建设研究”(中央高校业务费项目号:B210207015)的阶段性成果。

摘　　要：本文以2003~2023年相关的中外文献为研究对象,利用最新的人工智能ChatGPT等工具,对文献进行文本挖掘和可视化分析,旨在深入探讨国内外互联网信任研究的异同,并揭示中国互联网信任研究的独特特征。研究结果表明,互联网信任研究在国外起步较早,经过20多年,已经形成了成熟的理论体系,而中国研究则呈现出多元化、碎片化的特点。通过对比分析,本文厘清了中外互联网信任研究的理论差异,并强调了构建中国本土化互联网信任理论的重要性。此外,研究还发现,人工智能技术在文本分析和可视化方面发挥了重要作用,为深入理解互联网信任提供了新的视角。本研究不仅丰富了互联网信任研究的理论基础,而且为政策制定和未来研究提供了有益的参考。 This study focuses on relevant Chinese and international literature from 2003 to 2023, using the latest AI tools, such as ChatGPT, for text mining and visual analysis to delve into the similarities and differences between domestic and foreign internet trust research, and to reveal the unique characteristics of Chinese internet trust research. The study finds that foreign internet trust research started earlier and has formed a relatively mature theoretical system, while Chinese research presents diverse and fragmented characteristics. Through comparative analysis, this paper clarifies the theoretical differences between Chinese and foreign internet trust research and emphasizes the importance of constructing a localized Chinese theory of internet trust. Moreover, the study also finds that artificial intelligence technology plays an important role in text analysis and visualization, providing a new perspective for a deeper understanding of internet trust. This research not only enriches the theoretical foundation of internet trust research but also provides valuable references for policymaking and future research.

关 键 词：互联网 信任 AI 科技文献智能分析 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]