ACM Multimedia 2025 Tutorial:
Combating Online Misinformation Videos: Characterization, Detection, and Prevention

Qiang Sheng Peng Qi Tianyun Yang Yuyan Bu
Qiang Sheng1 Peng Qi2 Tianyun Yang3 Yuyan Bu4
Wynne Hsu Juan Cao Juan Cao
Wynne Hsu2 Mong Li Lee2 Juan Cao1
1Institute of Computing Technology, Chinese Academy of Sciences
2National University of Singapore
3Shenzhen Research Institute of Big Data
4Beijing Academy of Artificial Intelligence

October 27, 2025 13:30-17:00 | Goldsmiths 1, Dublin Royal Convention Centre, Ireland
Slides are available: [Part 1] [Part 2]

About this tutorial

The rapid progress of generative AI and the explosive popularity of short-form video platforms (e.g., TikTok, YouTube Shorts) have made it easier than ever to create and spread vivid, persuasive misinformation videos. Detecting and preventing such content has become a critical challenge for the health of online multimedia ecosystems.

This half-day tutorial systematically covers:

  • Characterization of both AI-generated and human-edited misinformation videos.
  • Detection approaches tailored for fully generated, manipulated and human-edited videos.
  • Prevention strategies that apply to both the creation and spreading phases.

We conclude with open challenges and future research directions. The tutorial is designed for attendees with basic knowledge of multimedia forensics and generative AI.

Schedule

All times are local (Dublin, GMT).

Time Section Presenter
13:30-13:40 Introduction & Motivation Qiang Sheng
13:40-13:55 Preliminaries: Video Editing & Generation Qiang Sheng
13:55-14:10 Characterization of Misinformation Videos Qiang Sheng
14:10-14:50 Detection Part I: Human-Edited Misinformation Yuyan Bu
14:50-15:00 Detection Part II: AI-Generated Misinformation Tianyun Yang
15:00-15:30 Coffee Break
15:30-16:00 Detection Part II: AI-Generated Misinformation (Cont'd) Tianyun Yang
16:00-16:40 Prevention Strategies Peng Qi
16:40-17:00 Conclusion & Open Discussion / General QA Qiang Sheng / All

Reading List

Key papers and datasets will be updated on the tutorial webpage. Stay tuned!

1. Intorduction & Motivation

2. Preliminaries: Video Editing & Generation

3. Characterization of Misinformation Videos

4. Detection Part I: Human-Edited Misinformation

5. Detection Part II: AI-Generated Misinformation

6. Prevention Strategies

7. Conclusion & Open Discussion

BibTeX

@inproceedings{mm25tutorial,
  title={Combating Online Misinformation Videos: Characterization, Detection, and Prevention},
  author={Sheng, Qiang and Qi, Peng and Yang, Tianyun and Bu, Yuyan and Hsu, Wynne and Lee, Mong Li and Cao, Juan},
  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
  year={2025},
  doi={10.1145/3746027.3759206},
  publisher={ACM}
}