The Journal for Information Professionals
Asia Pacific Journal of Information Systems (APJIS), a Scopus and ABDC indexed journal, is a
flagship journal of the information systems (IS) field in the Asia Pacific region.
ISSN 2288-5404 (Print) / ISSN 2288-6818 (Online)
Editor : Seung Hyun Kim
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Past Issue
| Date | April 2023 |
|---|---|
| Vol. No. | Vol. 33 No. 1 |
| DOI | https://doi.org/10.14329/apjis.2023.33.1.69 |
| Page | 69~82 |
| Title | COVID-19 Fake News Detection with Deep Learning |
| Author | Rutchaneewan Kowirat, Laor Boongasame |
| Keyword | Fake News, COVID-19, Deep Learning, Recurrent Neural Network (RNN) Model, Social Media |
| 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. |
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