False information detection in Social Media Network by Using Mining Techniques in Machine Learning

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Shruti Verma
Dr. Hari Om

Abstract

The spotting fake news is a relevant problem solving operation. Nowadays Social media is also being used for the news consumption task. Because of some factors or features like- of low cost, easy access and rapid dissemination of the information. Social media lead people to seek out and monopolize the news from the social network. But in another term Social Media network gives a chance for quick spreading of the fake news. So there is probability that low Data Mining techniques play a very essential role in fake news detection. This framework uses classification technique likeSupport Vector Machine (SVM), Nave Bayes and Decision trees to detect and classify the news into fake or genuine classes.

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How to Cite
Verma, S., & Om, D. H. (2020). False information detection in Social Media Network by Using Mining Techniques in Machine Learning. Multidisciplinary Journal of Research in Engineering and Technology, 7(3), 201 – 207. https://doi.org/10.65521/mjret.v7i3.1240
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