生成式人工智能语境下域外新闻广播的创新实践
Innovative practice of extra-territorial news broadcasting in the context of generative artificial intelligence
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| DOI |
10.12208/j.aics.20240008 |
| 刊名 |
Advances in International Computer Science
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| 年，卷(期) |
2024, 4(1) |
| 作者 |
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| 作者单位 |
1 广西金融职业技术学院 广西南宁 ;
2 深圳特区报社 广东深圳 ;
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| 摘要 |
AIGC介入新闻生产分发领域引发广泛关注。在新闻广播领域，国外媒体利用该技术已在拓宽新闻来源、创新内容生产模式、增强内容交互性以及提升审核把关效果等方面展开探索，并在声音数据运用训练、声音景观创新以及优化听众体验等方面取得一定经验。国内媒体可借鉴国外广播媒体对声音内容的创新实践，推动人工智能发展以促进媒体融合转型。在生成式音频内容极大改变目前已有媒体环境的当下，内容生产者、技术提供者应加强沟通与协作，关注受众感受，实现科技赋能人类美好生活的愿景。
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| Abstract |
AIGCs intervention in the field of news production and distribution has attracted wide attention. In the field of news broadcasting, foreign media have made use of this technology to expand news sources, innovate content production models, enhance content interactivity and improve audit and control effects, and have gained some experience in the application of sound data training, sound landscape innovation and optimization of audience experience. Domestic media can learn from the innovative practice of foreign broadcast media on sound content and promote the development of artificial intelligence to promote the transformation of media convergence. In the current situation where AI-generative audio content has greatly changed the existing media environment, content producers and technology providers should strengthen communication and collaboration, pay attention to audience feelings, and realize the vision of technology enabling human beings to live a better life.
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| 关键词 |
生成式人工智能；新闻广播；创新实践
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| KeyWord |
AIGC; News broadcasting; Innovation practice
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| 基金项目 |
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| 页码 |
4-9 |
李苑梦*,吴徐美.
生成式人工智能语境下域外新闻广播的创新实践 [J].
国际计算机科学进展.
2024; 4; (1).
4 - 9.