Fake News Detection Using Machine Learning

Authors

  • Vijaya Balpande  Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Kasturi Baswe  Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Kajol Somaiya  Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Achal Dhande  Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Prajwal Mire  Department of Computer Science and Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT12173115

Keywords:

TF-IDF Vectorizer, Naive Bayes, fake news

Abstract

A huge quantity of knowledge is generated on social media platforms with varied social media formats. Once an event take place many folks discuss it on the web through social networking sites. They arrange or retrieve and discuss the news event and build it as a routine of their existence. However, terribly messy volume of report contains caused the user to face the matter of knowledge overloading throughout looking out and retrieving. Under level sources of knowledge expose individual to an outsize quantity of Fox News, rumours, Hawks is, conspiracy theories and dishonest news. This pretends news comes back from the information, misunderstanding or unreliable contents with the creditability supply. This makes it tough to discover whether to believe or not if the news may be pretend or a true one once the news data is received. The aim of this paper is to try to tackle the growing problems with pretend news, which has been continuously been a retardant by the widespread use of social media. During this paper, we have a tendency to use two classification models: Naïve Bayes and TF-IDF Vectorizer.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Vijaya Balpande, Kasturi Baswe, Kajol Somaiya, Achal Dhande, Prajwal Mire, " Fake News Detection Using Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.533-542, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT12173115