A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks-Reference-Cited by-同舟云学术

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A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks

Published:2021-01 Issue:1 Volume:58 Page:102437
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Song Chenguang,Ning Nianwen,Zhang Yunlei,Wu Bin

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

NSFC

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference64 articles.

1. Fake news identification on twitter with hybrid cnn and rnn models;Ajao,2018

2. Vqa: visual question answering;Antol,2015

3. Ba, J. L., Kiros, J. R., & Hinton, G. E. (2016). Layer normalization.

4. Verifying multimedia use at mediaeval 2016;Boididou,2016

5. A survey on fake news and rumour detection techniques;Bondielli;Information Sciences,2019

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