Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning

作者：

Highlights：

• A deep fine-grained participant-level rumor detection framework.

• Multi-perspective learning for hierarchical information aggregation.

• An uncertainty-aware deep network for discriminative feature learning.

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

摘要

•A deep fine-grained participant-level rumor detection framework.•Multi-perspective learning for hierarchical information aggregation.•An uncertainty-aware deep network for discriminative feature learning.•Extensive experiments on real-world datasets prove the effectiveness of our model.

论文关键词：Rumor detection,Participant-level,User influence,Susceptibility,Temporal

论文评审过程：Received 20 January 2021, Revised 8 April 2021, Accepted 25 June 2021, Available online 13 July 2021, Version of Record 13 July 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102678