人工智能与大数据背景下再论情报学与传播学的交叉协作发展路径

[Purpose / Significance] Clarify the research status of cross-integration research of information science and communication under the background of artificial intelligence and big data, and explore new research directions of collaborative development. [Method / Process]Through the systematic sorting, summarization and analysis of the cross-related literature of the disciplines of information science and communication, the paper analyzes the cross-research topics of theoretical research and practical application, as well as their respective research characteristics and focuses. Combined with artificial intelligence, big data research methods and research hotpots, the new research directions and future development trends in the intersection process of information science and communication are expounded. [Results / Conclusions] In the context of artificial intelligence and big data, the intersection of information science and communication science is mainly based on information and society, which is reflected in the intersection of research objects, the intersection of research methods, and the intersection of application fields. In the future, the cross-research direction will further penetrate each other through the continuous development of data science. At the same time, the two disciplines will complement each other at the meso level, and use the information forecasting, multi-source data fusion and fusion media to achieve comprehensive collaborative development.