中国人工智能出版:历史脉络与发展趋势——基于文献计量视角的研究
Research on Artificial Intelligence Publishing in China:Historical Context and Development Trends
刘妍 1檀思源 2刘广东1
作者信息
- 1. 北京印刷学院出版学院,北京,102600
- 2. 中国传媒大学传播研究院,北京,100024
- 折叠
摘要
人工智能出版是近年来出版学的研究热点之一.基于中文文献的全样本量化分析,对人工智能出版研究进行可视化呈现,能够有效建构学术网络,厘清研究的历史脉络,并在一定程度上预测未来的研究趋势.量化分析结果显示:文献发表量在整体上呈现增长态势;研究者呈现出"一个中心,多点散发"的特点;研究机构在整体上呈现出四个集群,但相互之间缺乏合作;人工智能、融合出版、数字出版、知识服务等是高频关键词.人工智能出版研究总体上经历了技术想象、工具应用、生态转型3个阶段.探索新质生产力推动出版数智化转型的新路径,探讨智媒环境下出版学理论研究的新范式,关注数据资产在出版转型发展中的价值,将可能成为未来的研究焦点.
Abstract
Artificial intelligence publishing has been one of the research hotspots in publishing science in recent years.Based on full sample quantitative analysis of Chinese literature,visualizing research on artificial intelligence publishing can effectively construct academic networks,clarify the historical context of research,and to some extent predict future research trends.The quantitative analysis results show that the overall publication volume of literature is showing an increasing trend;Researchers exhibit a characteristic of"one center,multiple scattered points";The research institution presents four clusters as a whole,but lacks cooperation among them;Artificial intelligence,integrated publishing,digital publishing,knowledge services,etc.are high-frequency keywords.The research on artificial intelligence publishing has gone through three stages overall:technological imagination,tool application,and ecological transformation.Exploring new paths for the digital transformation of the publishing industry driven by new productive forces,exploring new paradigms for publishing theory research in the context of intelligent media,and paying attention to the value of data assets in the development of publishing transformation may become a future research focus.
关键词
人工智能出版/出版研究综述/AIGC/演进脉络/发展趋势Key words
Artificial intelligence publishing/Publishing research review/AIGC/Evolutionary context/Development trends引用本文复制引用
出版年
2024
NETL
NSTL
万方数据