The dissemination of scholarly research is critical, yet researchers often lack the time and skills to create engaging content for popular media such as short-form videos. To address this gap, we explore the use of generative AI to help researchers transform their academic papers into accessible video content. Informed by a formative study with science communicators and content creators (N=8), we designed PaperTok, an end-to-end system that automates the initial creative labor by generating script options and corresponding audiovisual content from a source paper. Researchers can then refine based on their preferences with further prompting. A mixed-methods user study (N=18) and crowdsourced evaluation (N=100) demonstrate that PaperTok's workflow can help researchers create engaging and informative short-form videos. We also identified the need for more fine-grained controls in the creation process. To this end, we offer implications for future generative tools that support science outreach.

翻译：学术研究的传播至关重要，然而研究人员往往缺乏时间和技能为短视频等大众媒体制作引人入胜的内容。为弥补这一不足，我们探索利用生成式人工智能帮助研究人员将学术论文转化为易于理解的视频内容。基于对科学传播者与内容创作者（N=8）的初步研究，我们设计了端到端系统PaperTok，该系统通过从源论文生成脚本选项及对应的视听内容，自动化处理前期的创意劳动。研究人员随后可根据自身偏好通过进一步提示进行优化。一项混合方法用户研究（N=18）与众包评估（N=100）表明，PaperTok的工作流程能有效协助研究人员制作兼具吸引力与知识性的短视频。同时，我们发现在创作过程中需要更细粒度的控制机制。为此，本文为未来支持科学传播的生成式工具提出了设计启示。