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

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks
Authors
Keywords
Fake news detection, Crossmodal attention, Residual network, Convolutional neural network
Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 58, Issue 1, Pages 102437
Publisher
Elsevier BV
Online
2020-11-17
DOI
10.1016/j.ipm.2020.102437
References
View 9 related references

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.