Abstract
During COVID-19 pandemic, misinformation and fake news spread in social media and unauthorized websites. Publics feel anxious during the pandemic and browse to seek information related to COVID-19. Advancement of big data analytics and artificial intelligence can assist detection and classification of medical misinformation and fake news especially during pandemic. Therefore, this chapter focuses on the development of Big Medical Data Mining System called BigMed for the detection and classification of COVID-19 misinformation and fake news using machine learning. In addition, the system provides an analytical dashboard to show verified information related to the summary of new coronavirus cases, trend and forecasting, province and state breakdown, and lastly the analysis of fake news. The BigMed system also provides some reliable information about coronavirus symptoms, prevention, vaccine, etc. This system can increase awareness about COVID-19 among public to prevent critical misconceptions caused by believing on fake news and misinformation.
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