A Benchmark Study on Machine Learning Methods for Fake News Detection

Khan, Junaed Younus, Khondaker, Md. Tawkat Islam, Iqbal, Anindya, Afroz, Sadia

arXiv.org Machine Learning 

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.

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