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PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication

Meziah Ruby Cristobal
Hyeonjeong Byeon
Tze-Yu Chen
Ruoxi Shang
Donghoon Shin
Ruican Zhong
Tony Zhou
Gary Hsieh
Main:16 Pages
8 Figures
Bibliography:3 Pages
5 Tables
Appendix:1 Pages
Abstract

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.

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