COVID-19 Fake News Detection with Deep Learning

Loading...
Thumbnail Image

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Social media has become one of the most popular channels to keep updated with daily news because it can quickly and easily access information. This advantage is used by malicious people to spread fake news widely. Since the COVID-19 pandemic, fake news has become a huge social problem, causing people to panic and misunderstand how to cure or protect themselves from the virus. So, the goal of this research is to use deep learning as the Recurrent Neural Network (RNN) model to find fake news about COVID-19 in the Thai language on social media and help filter information by classifying real and fake news.

Description

Keywords

COVID-19, Deep Learning, Fake News, Recurrent Neural Network (RNN) Model, Social Media

Citation

Asia Pacific Journal of Information Systems, 33(1), 69-82, 2023

Collections

Endorsement

Review

Supplemented By

Referenced By