English

ShortCheck: Checkworthiness Detection of Multilingual Short-Form Videos

Computation and Language 2025-09-26 v1 Computer Vision and Pattern Recognition

Abstract

Short-form video platforms like TikTok present unique challenges for misinformation detection due to their multimodal, dynamic, and noisy content. We present ShortCheck, a modular, inference-only pipeline with a user-friendly interface that automatically identifies checkworthy short-form videos to help human fact-checkers. The system integrates speech transcription, OCR, object and deepfake detection, video-to-text summarization, and claim verification. ShortCheck is validated by evaluating it on two manually annotated datasets with TikTok videos in a multilingual setting. The pipeline achieves promising results with F1-weighted score over 70\%.

Keywords

Cite

@article{arxiv.2509.20467,
  title  = {ShortCheck: Checkworthiness Detection of Multilingual Short-Form Videos},
  author = {Henrik Vatndal and Vinay Setty},
  journal= {arXiv preprint arXiv:2509.20467},
  year   = {2025}
}