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:社交媒体短视频是许多年轻人寻找和消费内容的主要方式。新闻媒体希望通过新闻视频来吸引受众,但目前难以将传统的新闻报道格式转化为与平台风格相匹配的短、富有趣味性的视频。有许多方式可以围绕一个新闻故事构建栏目,但选择其中一种方式是一项挑战。不同的新闻故事需要不同的构建方式,并需要在娱乐与信息之间做出不同的平衡。我们提出了一种名为ReelFramer的系统,利用文本和图像生成帮助新闻记者探索多个故事叙述的构架,然后生成他们可以编辑和迭代的剧本、角色版和故事板。一项针对五名新闻学相关领域的研究生的用户研究发现,该系统极大地缓解了将书面故事转化为视频的负担,并且探索构架以找到合适的构建方式是一个愉悦的过程。