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Fake News Detection using Machine Learning
2020
Zenodo
Recently, fake news has been incurring many problems to our society. As a result, many researchers have been working on identifying fake news. Most of the fake news detection systems utilize the linguistic feature of the news. However, they have difficulty in sensing highly ambiguous fake news which can be detected only after identifying meaning and latest related information. In this paper, to resolve this problem, we shall present a new Korean fake news detection system using fact DB which is
doi:10.5281/zenodo.3854896
fatcat:2co7vholivf2thf5v4mtxmbdzi