COVID-19 fake news detection model on social media data using machine learning techniques

• Main Authors: Kai Xuan, Kelvin Liew, Bhuiyan, Mohaiminul Islam, Nur Shazwani, Kamarudin, Ahmad Fakhri, Ab Nasir, Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/40374/1/COVID-19%20fake%20news%20detection%20model%20on%20social%20media.pdf; http://umpir.ump.edu.my/id/eprint/40374/2/COVID-19%20fake%20news%20detection%20model%20on%20social%20media%20data%20using%20machine%20learning%20techniques_ABS.pdf; http://umpir.ump.edu.my/id/eprint/40374/; https://doi.org/10.1109/ICSECS58457.2023.10256386

Social media sites like Instagram, Twitter, and Facebook have become indispensable parts of the daily routine. These social media sites are powerful instruments for spreading the news, photographs, and other sorts of information. However, since the emergence of the COVID-19 pandemic in December 2019...