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International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

Performance of Machine Learning Algorithm for Forged News Recognition

( Volume 6 Issue 10,October 2020 ) OPEN ACCESS

Kumar Divyanshu, Dr. M S Rudramurthy


Machine learning; Forged news; Feed Forward neural network; Support Vector Machine; Naïve Baye Classifier.


News consumption from online network is very dangerous now days. From one point of view, its minimal effort, easy access, and rapid spread of data lead individuals to seek out and devour news from web based life. Then yet again, it empowers the extensive spread of Forged news, i.e. low quality news with persistently phony data. The purpose of this research paper is to detect the forged news by various machine learning algorithm (Naïve Bayes Classifier, Support vector machine, Feed Forward neural network) and compare the accuracy of the learning algorithm on two different system configurations with same libraries and datasets.


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