Effective Methods for Fake News Detection: A Systematic Literature Review

The development of the spread of fake news is increasingly worrying, triggering many researchers to conduct experiments in creating a fake news detection system. Various algorithm methods were tested and produced different results. Therefore, we conducted a study to find out which method is the most effective in detecting fake news, based on total accuracy and consideration of its advantages and disadvantages. Other than that, we also analyze what datasets are used in each different method and paper. By reviewing the methods of 22 journals that have entered the eligibility criteria, we can find out that Naive Bayes is the one who gives the best results with the highest accuracy of 96.08% and an average of 81.43%.