# The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events

arXiv: https://arxiv.org/abs/2303.14309 · HTML: https://mlsanity.com/paper/2303.14309/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 28 references that are in the map.
- First posted on arXiv 25 Mar 2023.

## Builds on (most cited first, 1 of 1)

- ["This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders](https://mlsanity.com/paper/2202.04752/) (2022)

## Built on by (most cited first, 3 of 3)

- [FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter](https://mlsanity.com/paper/2508.19639/) (2025)
- [Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation](https://mlsanity.com/paper/2501.08514/) (2025)
- [Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detection](https://mlsanity.com/paper/2607.18080/) (2026)

## 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.