Health and Welfare Policy Forum

Exploratory Data Analysis and Implications for Detecting Fake News Related to COVID-19

  • Author

    Oh, Miae

  • Page

    68-80

  • PubDate

    2023. 02.

  • Language

    kor

False information and fake news about infectious diseases can be a huge threat, as they involve human lives and can cause a lot of social confusion. In fact, more than 800 people died around the world from January to March 2020 due to fake news related to COVID-19. In a sea of information, identifying fake news becomes increasingly important, and machine learning methods can be used as an effective tool for detecting fake news.
This study employed exploratory data analysis to detect fake news related to COVID-19. Additionally, it looks at the potential difficulties and implications of employing machine learning to identify fake news.

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공공누리 공공저작물 자유 이용허락, 출처표시, 상업적 이용 금지, 변경금지
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