Fake News Detection Using Machine Learning

Authors

  • Basavkumar Jigajinni  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Jayesh Agarwal  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Pravin Gawade  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Komal Kalane  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Nilesh Mali  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Machine Learning, Naïve Bayes Classifier, Web Scrapping, Clustering.

Abstract

Information preciseness on Internet, especially on social media, is an increasingly important concern, but web-scale data hampers, ability to identify, evaluate and correct such data, or so called “fake news,” present in these platforms. In this paper, we propose a method for “fake news” detection and ways to apply it on Facebook, one of the most popular online social media platforms. This method uses Naive Bayes classification model to predict whether a post on Facebook will be labeled as REAL or FAKE. The results may be improved by applying several techniques that are discussed in the paper. Received results suggest, that fake news detection problem can be addressed with machine learning methods.

References

  1. Saeed Abu-Nimeh, Thomas Chen “Proliferation and Detection of Blog Spam” http://ieeexplore.ieee.org/document/8100379/
  2. Marco Ramilli “Comment Spam Injection Made Easy” http://ieeexplore.ieee.org/document/4784952/
  3. Qianqian Wang, Bin Liang, Wenchang Shi, Zhaohui Liang, Wei Sun “Detecting spam comments with malicious users' behavioral characteristics” http://ieeexplore.ieee.org/document/5689532/
  4. Amir A. Sheibani “Opinion mining and opinion spam: A literature review focusing on product reviews” http://ieeexplore.ieee.org/document/6483152/

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

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

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]
Basavkumar Jigajinni, Jayesh Agarwal, Pravin Gawade, Komal Kalane, Prof. Nilesh Mali, " Fake News Detection Using Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.140-143, September-October-2019.