Online Misinformation Detection in Live Streaming Videos
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Abstract (arXiv)
Online misinformation detection is an important issue and methods are proposed to detect and curb misinformation in various forms. However, previous studies are conducted in an offline manner. We claim a realistic misinformation detection setting that has not been studied yet is online misinformation detection in live streaming videos (MDLS). In the proposal, we formulate the problem of MDLS and illustrate the importance and the challenge of the task. Besides, we propose feasible ways of developing the problem into AI challenges as well as potential solutions to the problem.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 28 references that are in the map. First posted on arXiv 16 Mar 2025.
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8 of 28 references.
References · 8
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2020Spatiotemporal Contrastive Video Representation Learningcited by 372
- 2021Detecting Harmful Memes and Their Targetscited by 78
- 2015Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threadscited by 64
- 2019StartNet: Online Detection of Action Start in Untrimmed Videoscited by 21
- 2019A framework for fake review detection in online consumer electronics retailerscited by 12
- 2021Misinformation Detection on YouTube Using Video Captionscited by 12
- 2018Fake Colorized Image Detectioncited by 7
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