AZERBAIJAN NATIONAL ACADEMY OF SCIENCES
FAKE STATEMENTS DETECTION WITH ENSEMBLE OF MACHINE LEARNING ALGORITHMS
Mikhail O. Granik, Vladimir I. Mesyura

The paper is devoted to an attempt of classifying statements made by public figures as true or false (fake). It is suggested to use number of different machine learning techniques for that and uniting them to a single system (ensemble) which predicts probability that given statement is true or not and performs the appropriate classification (pp.48-52).

Keywords: fake news, fake statements, machine learning, deep learning, ensemble.
DOI : 10.25045/jpit.v09.i2.06
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