Social Media Rumor Refuter Feature Analysis and Crowd Identification Based on XGBoost and NLP

Social Media Rumor Refuter Feature Analysis and Crowd Identification Based on XGBoost and NLP

One prominent dark side of online information behavior is the spreading of rumors. The feature analysis and crowd identification of social media rumor refuters based on machine learning methods can shed light on the rumor refutation process. This paper analyzed the association between user features...

Full description

Bibliographic Details
Main Authors: Zongmin Li, Qi Zhang, Yuhong Wang, Shihang Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
rumor refuter
machine learning
nature language processing
XGBoost
feature analysis
Online Access:https://www.mdpi.com/2076-3417/10/14/4711

Internet

https://www.mdpi.com/2076-3417/10/14/4711

Similar Items