Research on the intelligent transformation and risk governance of news editing and production under the background of large models
大模型背景下新闻采编制作的智能化转型与风险治理研究

摘要

在生成式大模型技术快速迭代并深度融入传媒领域的背景下，新闻采编制作行业迎来智能化转型的关键机遇，其生产模式、传播路径与内容创作逻辑均发生深刻变革。本文以大模型技术在新闻采编制作全流程的应用为研究对象，运用文献研究法、案例分析法与实地调研法，梳理大模型赋能新闻线索挖掘、内容生成、编辑校对、视觉制作等环节的实践路径，分析智能化转型为行业带来的生产效率提升、内容形态创新、传播精准度优化等实际成果。研究发现，大模型在推动新闻采编制作智能化发展的同时，也引发了内容真实性缺失、版权归属模糊、算法偏见加剧、职业伦理失范等系列风险，且行业内的技术应用不均衡、专业人才体系适配不足等问题进一步放大了治理难度。基于此，本文从技术规范、制度建设、行业自律、人才培养四个维度，提出大模型背景下新闻采编制作智能化转型的风险治理策略，旨在为传媒行业把握技术机遇、规避发展风险，实现智能化转型与高质量发展的协同推进提供理论参考与实践路径。

Abstract

Under the background of the rapid iteration of generative large model technology and its deep integration into the media field, the news editing and production industry is facing a critical opportunity for intelligent transformation, with profound changes in its production mode, communication path and content creation logic. Taking the application of large model technology in the whole process of news editing and production as the research object, this paper uses the methods of literature research, case analysis and field investigation to sort out the practical paths of large models empowering news clue mining, content generation, editing and proofreading, visual production and other links, and analyzes the practical achievements brought by intelligent transformation to the industry, such as the improvement of production efficiency, the innovation of content forms and the optimization of communication accuracy. The study finds that while promoting the intelligent development of news editing and production, large models also trigger a series of risks such as the lack of content authenticity, ambiguous copyright ownership, aggravated algorithmic bias and professional ethical anomie. Moreover, the unbalanced application of technology in the industry and the insufficient adaptation of the professional talent system have further amplified the governance difficulty. Based on this, this paper puts forward the risk governance strategies for the intelligent transformation of news editing and production under the background of large models from four dimensions: technical specification, system construction, industry self-discipline and talent training, aiming to provide theoretical reference and practical paths for the media industry to grasp technological opportunities, avoid development risks, and realize the coordinated promotion of intelligent transformation and high-quality development.