Detecting breaking news rumors of emerging topics in social media

作者：

Highlights：

• A new semi-supervised learning solution for breaking news rumor detection.

• A new strategy to mitigate the cross-topic issue in breaking news rumor detection.

• Proposed method outperforms the state-of-the-art classifiers on real-life datasets.

摘要

•A new semi-supervised learning solution for breaking news rumor detection.•A new strategy to mitigate the cross-topic issue in breaking news rumor detection.•Proposed method outperforms the state-of-the-art classifiers on real-life datasets.

论文关键词：Breaking news,Machine learning,Micro-blogs,Recurrent neural networks,Rumor detection,Social media

论文评审过程：Received 30 September 2018, Revised 10 January 2019, Accepted 20 February 2019, Available online 28 February 2019, Version of Record 13 January 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2019.02.016