MCG-ICT at MediaEval 2015: Verifying Multimedia Use with a Two-Level Classification Model

Zhiwei Jin, Juan Cao, Yazi Zhang, Yongdong Zhang
2015 MediaEval Benchmarking Initiative for Multimedia Evaluation  
The Verifying Multimedia Use task aims to detect misuse of online multimedia content and verify them as real or fake. This is a highly challenging problem because of strong variations among tweets from different events. Traditional approaches train the classifier at message level, which ignores inter-message relations. We propose a two-level classification model to exploit the information that tweets of a same topic are probably have same credibility values. In this model a topic level is
more » ... uced to eliminate message variations. Messages are aggregated into topics as a higher level representation. Pre-results gained from classification at the topic level are then fused with original message level features to train a better classifier. Results indicate that topic level is very helpful and our two-level approach offers significantly better results than a traditional one-level method. Our best result on this task achieves an F-score of 0.94 using features extracted only from tweet content.
dblp:conf/mediaeval/JinCZZ15 fatcat:fmpvxr6if5bwfgz4cfe5t4zdhe