The spread of fake news has led to an increasing worry about its negative impact on people. Thus, there is an emergence in research on fake news. Fake news detection on social media presents several challenges which make the existing data algorithms from traditional news media ineffective or not applicable. This research survey aims to present a comprehensive review of detecting fake news on social media which includes characteristics of fake news on psychology and social theories, existing algorithms from a data-mining perspective, evaluation metrics and representative data sets. The study also discusses related research areas, open problems and future research directions for fake news detection on social media.
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