Multi-view learning with distinguishable feature fusion for rumor detection

作者：

Highlights：

• A novel user-aspect multi-view learning model for rumor detection.

• A hierarchical way to represent information diffusion.

• A distinguishable feature fusion mechanism to unify different knowledge.

• Extensive experiments on real-world datasets prove the effectiveness of our model.

摘要

•A novel user-aspect multi-view learning model for rumor detection.•A hierarchical way to represent information diffusion.•A distinguishable feature fusion mechanism to unify different knowledge.•Extensive experiments on real-world datasets prove the effectiveness of our model.

论文关键词：Rumor detection,Rumor spreading,User-aspect,Multi-view learning,Distinguishable

论文评审过程：Received 4 July 2021, Revised 24 November 2021, Accepted 25 December 2021, Available online 4 January 2022, Version of Record 17 January 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.108085