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title

FAKE NEWS DETECTION USING MACHINE LEARNING

Author(s):

Pooja Kailas Mahajan

Keywords:

fake news, detection, machine learning, classifiers.

Abstract

The quality of available on the Web, , becomes more and more troublesome, yet b-scale data makes it more difficult to detect & amend such material. These websites also include "false news." In this paper, provide such a strategy for spotting "false news" or how to prevent it. In practice, among the most often used social networking platforms is In this strategy, the Naive Bayes classifier a model was developed to predict whether such a post will be classed as True or False. A number of measures outlined in the study may enhance the findings. The findings suggest that machine learning technologies might be used to overcome the challenge of spotting bogus news.

Other Details

Paper ID: IJSARTV
Published in: Volume : 8, Issue : 8
Publication Date: 8/5/2022

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