The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events
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Abstract (arXiv)
Mis- and disinformation can spread rapidly on video-sharing platforms (VSPs). Despite the growing use of VSPs, there has not been a proportional increase in our ability to understand this medium and the messages conveyed through it. In this work, we draw on our prior experiences to outline three core challenges faced in studying VSPs in high-stakes and fast-paced settings: (1) navigating the unique affordances of VSPs, (2) understanding VSP content and determining its authenticity, and (3) novel user behaviors on VSPs for spreading misinformation. By highlighting these challenges, we hope that researchers can reflect on how to adapt existing research methods and tools to these new contexts, or develop entirely new ones.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 1 of its 28 references that are in the map. First posted on arXiv 25 Mar 2023.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adaptercited by 7
- 2025Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluationcited by 1
- 2026Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detectioncited by 0
- 2026Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detection20 Jul 2026
- 2025FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter27 Aug 2025
- 2025Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation15 Jan 2025