A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs

A Novel Hybrid Deep Learning Model for Detecting COVID-19-Related Rumors on Social Media Based on LSTM and Concatenated Parallel CNNs

Spreading rumors in social media is considered under cybercrimes that affect people, societies, and governments. For instance, some criminals create rumors and send them on the internet, then other people help them to spread it. Spreading rumors can be an example of cyber abuse, where rumors or lies...

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Bibliographic Details
Main Authors: Mohammed Al-Sarem, Abdullah Alsaeedi, Faisal Saeed, Wadii Boulila, Omair AmeerBakhsh
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
rumor detection
deep learning
twitter analysis
convolution neural networks
LSTM
pretrained model
Online Access:https://www.mdpi.com/2076-3417/11/17/7940

Internet

https://www.mdpi.com/2076-3417/11/17/7940

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