Rumor knowledge embedding based data augmentation for imbalanced rumor detection

• Published in: Information sciences Vol. 580; pp. 352 - 370
• Main Authors: Chen, Xiangyan, Zhu, Duoduo, Lin, Dazhen, Cao, Donglin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.11.2021
• Subjects: Knowledge graph; Rumor data augmentation; Rumor detection; Rumor detection; Rumor data augmentation; Knowledge graph

Rumor detection aims to detect rumors in a timely manner to prevent malicious rumors from misleading the public and disrupting social order. However, rumor detection suffers from the problem of imbalanced data. Existing methods of text generation and imbalanced learning are insufficient in addressin...