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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