作者
Shagoto Rahman, M Raihan, Kamrul Hasan Talukder, Sabia Khatun Mithila, Md Mehedi Hassan, Laboni Akter, Md Mohsin Sarker Raihan
发表日期
2022/8/2
图书
Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021
页码范围
513-525
出版商
Springer Nature Singapore
简介
In recent years, the growth of fake news has been significantly high. Advancement in the field of technology is one of the reasons that lie behind this phenomenon. Fake news are presented in such a way that it is quite hard to identify as fake on various social platforms these days and that has a huge impact on people or communities. Such fake news is most destructive when it plays with life. COVID-19 has changed and shaken the entire universe, and fake news that are related to COVID-19 make the destruction deadlier. So, an effort regarding COVID-19-related fake news detection will guard a lot of people or communities against bogus news and can make lives better with proper news in a pandemic. For our research in this paper, a methodology has been espoused to detect COVID-19-allied fake news. Our methodology consists of two different approaches. One approach deals with machine learning models …
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S Rahman, M Raihan, KH Talukder, SK Mithila… - Machine Intelligence and Data Science Applications …, 2022