Asia pacific journal of information systems

  • 제33권1호
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  • Pages.69-82
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  • 2023
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  • 2288-5404(pISSN)
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  • 2288-6818(eISSN)
한국경영정보학회 (The Korea Society of Management Information Systems)
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COVID-19 Fake News Detection with Deep Learning

  • Rutchaneewan Kowirat (Department of Mathematics, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang) ;
  • Laor Boongasame (Department of Mathematics, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang)
  • 투고 : 2022.06.07
  • 심사 : 2022.10.18
  • 발행 : 2023.03.31
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초록

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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과제정보

This work is supported by King Mongkut's Institute of Technology Ladkrabang [KREF016310]

참고문헌

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