A Framework for Predicting and Analyzing Fake News Using Machine Learning

Authors

  • Vaishali Singh  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, Uttar Pradesh, India

DOI:

https://doi.org//10.32628/IJSRSET229233

Keywords:

Machine Learning, Support Vector Machine, Naive Bayes Algorithm, Fake News, Prediction.

Abstract

In today's world, social media is the most effective way to express him. And this is the finest area to provide information about yourself, your society, your faith, and your customs. It is involved in the rapid exchange of information, in which news from all fields is available. Social media has a major impact on our lives and society nowadays. And, in today's world, social media is the most effective way to express him. Furthermore, social media has evolved into a platform for sharing current events. People in the other location are informed about what is going on in the other location. People also learn about the culture of other places as a result of this. However, some nefarious elements utilize social media to promote false information, which has an impact on both our lives and society. And if Fake News isn't dealt with quickly enough, it spreads like a forest fire. And this fake news hurts some people's sentiments, and it has also been known to trigger riots in society. It is vital in today's world to have some instruments that can verify any news, whether it is factual or not. And I'd like to accomplish the same thing with this algorithm.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vaishali Singh, " A Framework for Predicting and Analyzing Fake News Using Machine Learning, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.204-209, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229233