Predicting Rumor Retweeting Behavior of Social Media Users in Public Emergencies

Predicting Rumor Retweeting Behavior of Social Media Users in Public Emergencies

Rumors in social media not only affect the health of online social networks, but also reduce the quality of information accessed by social media users. When emergencies occur, the rapid spread of rumors can even trigger mass anxiety and panic. However, the existing studies did not make a clear disti...

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Bibliographic Details
Main Authors: Yong Tian, Rong Fan, Xuejun Ding, Xiaxia Zhang, Tian Gan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Behavior prediction
convolutional neural networks
public emergency
rumor
Online Access:https://ieeexplore.ieee.org/document/9075170/

Internet

https://ieeexplore.ieee.org/document/9075170/

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