Web2 days ago · The conducted experiments on three real-world datasets demonstrate the superiority of Dynamic GCN over the state-of-the-art methods in the rumor detection task. View WebApr 11, 2024 · Besides, Liu et al. presented a rumor detection model based on convolution neural network (CNN), vectorized the rumor events in microblogs and mined the deep features of texts through the learning and training of hidden layer of CNN, which avoided the problem of feature construction. The rumor events detection methods based on …

Enhancing Rumor Detection in Social Media Using …

WebExisting work on rumor detection concentrates more on the utilization of textual features, but diffusion structure itself can provide critical propagating information in identifying … WebDec 13, 2024 · Social media rumors have the capacity to harm the public perception and the social progress. The news propagation pattern is a key clue for detecting rumors. … how many xbox 360 have been sold

An End-to-End Rumor Detection Model Based on Feature

WebOct 12, 2024 · Rumor detection methods based on propagation structure usually analyze the propagation paths or networks formed by retweets and comments of blog posts to … WebAug 18, 2024 · Thus, detecting the rumors and preventing their spread became an essential task. Some of the recent deep learning-based rumor detection methods, such as Bi-Directional Graph Convolutional Networks (Bi-GCN), represent rumor using the completed stage of the rumor diffusion and try to learn the structural information from it. WebFeb 27, 2024 · However, epidemic rumors provide limited signal features in the early stage. In order to identify rumors with data sparsity, we propose a few-shot learning rumor detection model based on capsule networks (CNFRD), utilizing the metric learning framework and the capsule network to detect the rumors posted during unexpected … photography buying guide tony pdf