A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis
作者：
Highlights：
• The evolution tree analysis was performed on tweets about real and fake news stories.
• Most root tweets about fake news were generated by ordinary users.
• Root tweets about fake news often included a link to non-credible news websites.
• Tweets about fake news undergo frequent modifications in the original content over the spreading process.
• Tweets about real news spread widely without modifications in the original content.
摘要
•The evolution tree analysis was performed on tweets about real and fake news stories.•Most root tweets about fake news were generated by ordinary users.•Root tweets about fake news often included a link to non-credible news websites.•Tweets about fake news undergo frequent modifications in the original content over the spreading process.•Tweets about real news spread widely without modifications in the original content.
论文关键词：Fake news,Evolution tree analysis,Computational social science,Misinformation,Network analysis
论文评审过程：Received 25 November 2017, Revised 15 February 2018, Accepted 20 February 2018, Available online 22 February 2018, Version of Record 27 February 2018.
论文官网地址：https://doi.org/10.1016/j.chb.2018.02.032
