Short videos on social media are the dominant way young people consume content. News outlets would like to reach audiences through news reels - short videos that convey news - but struggle to translate traditional journalistic formats into short, colloquial videos. Generative AI has the potential to transform content but often fails to be correct and coherent by itself. To help journalists create scripts and storyboards for news reels, we introduce a human-AI co-creative system called ReelFramer. It uses an intermediate step of framing and foundation to guide AI toward better outputs. We introduce three narrative framings to balance information and entertainment in news reels. The foundation for the script is a premise, and the foundation for the storyboard is a character board. Our studies show that the premise helps generate more relevant and coherent scripts and that co-creating with AI lowers journalists' barriers to making their first news reels.

翻译：社交媒体上的短视频是年轻人消费内容的主流方式。新闻机构希望通过新闻短剧——一种传达新闻的短视频——触达受众，但在将传统新闻格式转化为简短、口语化的视频时面临挑战。生成式AI具有改变内容的潜力，但单独使用时往往难以保证准确性和连贯性。为了帮助记者为新闻短剧撰写脚本和故事板，我们提出了一种名为ReelFramer的人机共创系统。该系统通过引入中间步骤的框架设计与基础构建，引导AI生成更优质的输出。我们提出了三种叙事框架以平衡新闻短剧中的信息性与娱乐性。脚本的基础是前提设定，而故事板的基础则是角色板。研究表明，前提设定有助于生成更相关且连贯的脚本，而通过与AI共创，记者制作首条新闻短剧的门槛得以降低。