A Benchmark Study on Machine Learning Methods for Fake News Detection
Khan, Junaed Younus, Khondaker, Md. Tawkat Islam, Iqbal, Anindya, Afroz, Sadia
There was a time when if anyone needed any news, he or she would wait for the next-day newspaper. However, with the growth of online newspapers who update news almost instantly, people have found a better and faster way to be informed of the matter of his/her interest. Nowadays social-networking systems, online news portals, and other online media have become the main sources of news through which interesting and breaking news are shared at a rapid pace. However, many news portals serve special interest by feeding with distorted, partially correct, and sometimes imaginary news that is likely to attract the attention of a target group of people. Fake news has become a major concern for being destructive sometimes spreading confusion and deliberate disinformation among the people.
May-12-2019
- Country:
- Europe > Ukraine (0.04)
- Asia > Bangladesh (0.04)
- North America > United States
- New York (0.04)
- Africa > Nigeria
- Plateau State (0.04)
- Genre:
- Research Report (0.64)
- Technology: