DSS: A hybrid deep model for fake news detection using propagation tree and stance network

作者：

Highlights：

• Propagation tree and stance network are used simultaneously and dynamically.

• Novel propagation-based and graph-based features are used.

• A hybrid deep model for fake news detection is proposed.

• The results show the merit of the proposed method for early fake news detection.

摘要

•Propagation tree and stance network are used simultaneously and dynamically.•Novel propagation-based and graph-based features are used.•A hybrid deep model for fake news detection is proposed.•The results show the merit of the proposed method for early fake news detection.

论文关键词：Fake news detection,Social media,Deep learning,Propagation tree,Stance network,Temporal analysis

论文评审过程：Received 16 May 2021, Revised 1 September 2021, Accepted 3 February 2022, Available online 7 February 2022, Version of Record 16 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116635