Twitter rumour detection in the health domain

作者：

Highlights：

• A novel health-related rumour detection system on Twitter.

• The system is devised for single topic domain rumour detection.

• It uses new features computed without considering the specific topic.

• System and feature validation on a real topic-related Twitter dataset.

• The dataset consider as keywords #zikavirus and #zika microcephaly.

摘要

•A novel health-related rumour detection system on Twitter.•The system is devised for single topic domain rumour detection.•It uses new features computed without considering the specific topic.•System and feature validation on a real topic-related Twitter dataset.•The dataset consider as keywords #zikavirus and #zika microcephaly.

论文关键词：Health rumour detection,Social microblog,Twitter,Network-and user-based features

论文评审过程：Received 21 December 2017, Revised 1 April 2018, Accepted 18 May 2018, Available online 24 May 2018, Version of Record 4 June 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.05.019