生成式AI助力新闻传播角色重塑研究

Generative AI Facilitating the Reconfiguration of News Communication Roles

摘要: 生成式人工智能正在改变新闻传播行业生产方式以及人员分工。本文从新闻生产者、传播者、受众、监管者四个方面来分析生成式AI的应用场景和角色重构的原因。研究表明，生成式AI提高了内容生产的效率，但是也造成了技术的断层、算法依赖、参与门槛高、监管滞后等问题。据此提出人机协同能力建设、伦理约束强化、媒介素养培育、多元协同监管四个方面的优化策略。研究者认为，生成式AI引发新闻传播角色更新是由于工具辅助走向人机协作而带来的，核心就是创建起能力改善、制度规范、环境改良和治理完善的良性生态系统。

Abstract: Generative artificial intelligence is transforming the production logic and role division in the news communication industry. This paper analyzes the application scenarios and role reconfiguration motivations of generative AI from four dimensions: news producers, communicators, audiences, and regulators. The study finds that while generative AI enhances content production efficiency, it also brings about issues such as skill gaps, algorithm dependence, high participation barriers, and lagging regulation. Based on this, four-dimensional optimization strategies of human-machine collaboration capabilities building, ethical constraints strengthening, media literacy cultivation, and diversified collaborative supervision are proposed. The research holds that the essence of generative AI promoting the reconfiguration of news communication roles is a shift from tool assistance to human-machine collaboration. The key lies in establishing a virtuous ecosystem that integrates capacity improvement, institutional norms, environment optimization, and governance improvement.