Short videos on social media are a prime way many young people find and consume content. News outlets would like to reach audiences through news reels, but currently struggle to translate traditional journalistic formats into the short, entertaining videos that match the style of the platform. There are many ways to frame a reel-style narrative around a news story, and selecting one is a challenge. Different news stories call for different framings, and require a different trade-off between entertainment and information. We present a system called ReelFramer that uses text and image generation to help journalists explore multiple narrative framings for a story, then generate scripts, character boards and storyboards they can edit and iterate on. A user study of five graduate students in journalism-related fields found the system greatly eased the burden of transforming a written story into a reel, and that exploring framings to find the right one was a rewarding process.

翻译：社交媒体上的短视频是许多年轻人发现和消费内容的主要方式。新闻媒体希望借助新闻短视频触达受众，但当前难以将传统新闻体裁转化为符合平台风格的短小娱乐化视频。围绕一则新闻故事构建短视频叙事框架有多种方式，选择合适的框架颇具挑战。不同新闻故事需要不同的叙事框架，且要求在娱乐性和信息性之间做出不同权衡。我们提出一个名为ReelFramer的系统，该系统利用文本和图像生成技术，帮助记者探索故事的多种叙事框架，随后生成可编辑迭代的脚本、角色看板和故事板。一项面向五名新闻学相关专业研究生的用户研究发现，该系统极大减轻了将文字故事转化为短视频的负担，且探索合适框架的过程富有成效。