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 +3 more
1/26/2026
cs.HCcs.AIcs.CL

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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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Cite this paper

@article{cristobal2026papertok,
  title  = {PaperTok: Exploring the Use of Generative AI for Creating Short-form Videos for Research Communication},
  author = {Meziah Ruby Cristobal and Hyeonjeong Byeon and Tze-Yu Chen and Ruoxi Shang and Donghoon Shin and Ruican Zhong and Tony Zhou and Gary Hsieh},
  year   = {2026},
  eprint = {2601.18218},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.18218v1}
}

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