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      人工智能时代播采编一体化进程发展与创作前景

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      https://www.riss.kr/link?id=A109256680

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      다국어 초록 (Multilingual Abstract)

      As an important carrier of information dissemination, the media industry is also facing new challenges and opportunities brought about by technological change. In this context, the integration of broadcasting, acquisition and editing, as an important ...

      As an important carrier of information dissemination, the media industry is also facing new challenges and opportunities brought about by technological change. In this context, the integration of broadcasting, acquisition and editing, as an important trend to conform to the general trend of media integration and improve the efficiency of news production, has attracted extensive attention and exploration and practice in the industry. The integration of broadcasting, collection and editing refers to the news production mode of breaking down the departmental barriers of news gathering, editing, and publishing with the support of digital technology, and realizing integrated operation and collaborative production. This model can effectively improve the timeliness and flexibility of news production, and meet the needs of focused and personalized information. In recent years, the introduction of artificial intelligence technology has injected new impetus into the integration of broadcasting, acquisition and editing, making it move towards a higher level of intelligence. Starting from the impact of artificial intelligence on the journalism industry, this paper deeply analyzes the application status and prospects of artificial intelligence technology in the process of integration of broadcasting, acquisition and editing, discusses the challenges of the integration of broadcasting, acquisition and editing in the intelligent environment, and puts forward strategic suggestions to promote the development of integration of broadcasting, acquisition and editing, in order to provide reference for the transformation and upgrading of the media industry.

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      다국어 초록 (Multilingual Abstract)

      媒体行业作为信息传播的重要载体,同样面临着技术变革带来的新挑战和新机遇。在此背景下,播采编一体化作为顺应媒体融合大势、提高新闻生产效率的重要趋势,引起了业界的广泛关注...

      媒体行业作为信息传播的重要载体,同样面临着技术变革带来的新挑战和新机遇。在此背景下,播采编一体化作为顺应媒体融合大势、提高新闻生产效率的重要趋势,引起了业界的广泛关注和探索实践。播采编一体化是指在数字化技术支持下,打破新闻采集、编辑、发布等环节的部门壁垒,实现一体化运作、协同生产的新闻生产模式。这种模式能够有效提高新闻生产的时效性和灵活性,满足分众化、个性化的信息需求。近年来,人工智能技术的引入为播采编一体化注入了新的动力,使其迈向更高的智能化水平。本文从人工智能对新闻业的影响出发,深入分析了人工智能技术在播采编一体化进程中的应用现状和前景,探讨了智能化环境下播采编一体化面临的挑战,并提出了推动播采编一体化发展的策略建议,以期为媒体行业的转型升级提供参考。

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      목차 (Table of Contents)

      • Ⅰ.引言
      • Ⅱ.人工智能对新闻业的影响
      • Ⅲ.人工智能在播采编各环节中的应用与趋势
      • Ⅳ.播采编一体化面临的挑战
      • Ⅴ.对策与建议
      • Ⅰ.引言
      • Ⅱ.人工智能对新闻业的影响
      • Ⅲ.人工智能在播采编各环节中的应用与趋势
      • Ⅳ.播采编一体化面临的挑战
      • Ⅴ.对策与建议
      • Ⅵ.结束语
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