MRI
MRI India Journals Vol. 7 No. 3 (2020): Volume 7 Issue 3 2020

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

Authors

  • Shruti Verma
  • Hari Om

DOI:

https://doi.org/10.65521/mjret.v7i3.1240

Keywords:

Fake News, Data Mining Support Vector Machine, Nave bayes Decision Tree.

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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Published

2020-01-15

How to Cite

Verma, S., & Om, 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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