在数字化转型加速发展时代，人工智能技术的突破性发展为人文社会科学研究提供了全新的方法论工具。围绕此背景，探讨人工智能技术在中国新闻传播史研究中的应用与创新，以期为中国新闻传播史研究提供新思路。该研究以中国新闻传播史为切入点，梳理中国新闻传播史的研究现状，分析人工智能技术在相关领域研究中的应用趋势，提出基于人工智能的创新研究框架，分析其在大规模史料分析、跨文化传播模式识别和历史事件关联分析等方面的显著优势。研究发现，人工智能技术为新闻传播史研究提供了新的方法论和研究视角，明确人工智能技术能够有效提升新闻传播史研究的效率和深度，为数字人文视域下的跨学科方法论创新提供重要参考路径。

In the era of accelerated development of digital transformation, the breakthrough development of artificial intelligence technology provides a new methodology tool for humanities and social science research. Against this backdrop, the present study explores the application and innovation of artificial intelligence technology in the study of Chinese journalism and communication history, with the aim of providing new perspectives for the field. The study takes the history of Chinese journalism and communication as its starting point. It delineates the current state of research in this field, analyzes the application trends of artificial intelligence technology, proposes an AI-based innovative research framework, and examines its significant advantages in areas such as large-scale historical data analysis, cross-cultural communication pattern recognition, and historical event correlation analysis. The study reveals that AI technology offers new methodologies and perspectives for research in journalism and communication history. It demonstrates that AI can significantly enhance the efficiency and depth of such historical studies, thereby providing a valuable reference for interdisciplinary methodological innovation within the digital humanities.