Online Misinformation Detection in Live Streaming Videos
This addresses the need for real-time misinformation detection in live video streams, but it is incremental as it builds on existing offline methods.
The paper tackles the problem of detecting misinformation in live streaming videos, proposing a new task formulation and highlighting its importance and challenges.
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.