Fake News (Hoax) Detection on Social Media Using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Methods-Reference-Cited by-同舟云学术

Fake News (Hoax) Detection on Social Media Using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Methods

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Information and Communication Technology (ICoICT)
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Author:

Asta Reyhan Septri¹,Budi Setiawan Erwin¹

Affiliation:

1. Telkom Univeristy,School of Computing, Informatics,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262402/10262408/10262617.pdf?arnumber=10262617

Reference21 articles.

1. Fake News Detection using Bi-directional LSTM-Recurrent Neural Network

2. Analisis Sentimen Terhadap Kebijakan Pemerintah dengan Feature Expansion Metode GloVe pada Media Sosial Twitter;faiq;e-Proceeding of Engineering,2022

3. Indonesian news classification using convolutional neural network

4. Application of Deep Learning Using Convolutional Neural Network (CNN) Method For Women’s Skin Classification

5. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

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3. Preserving Information Integrity: A Novel Machine Learning Approach for Fake News Detection;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04