Manuscript Number : SHISRRJ247266

Fake News Detection

Authors(2) :-Dr. K. Shanmugam, Diguvapatala Venkatesh

In recent years, fake news has been widely spread online for a range of political and commercial purposes, mostly as a result of the rapid expansion of online social networks.This misleading language used in online false news makes it easy for users of online social networks to become infected, and it has already had a big impact on offline culture.One of the main goals in improving the accuracy of information in online social networks is the early detection of fake news.Examining the guiding principles, methods, and algorithms for recognising and rating the effectiveness of false news articles, producers, and topics from online social networks is the aim of this study.Concerns about the veracity of information on the Internet, especially social media, are growing. Nevertheless, webscale data complicates the process of identifying, evaluating, and eliminating content deemed to be fake news. which is available on these platforms..The findings suggest that the problem of false news identification can be resolved by the application of machine learning techniques.

Authors and Affiliations

Dr. K. Shanmugam
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Diguvapatala Venkatesh
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

deceptive, social networking, data hampers, naïve bayes, offline society, algorithms

  1. Machine Learning-Based Fake News Detection "Fake News Detection with Python" URL: https://github.com/GeorgeMcIntire/fake_real_news_dataset
  2. The advanced Python project for identifying false news can be accessed at https://data-flair.training/blogs/
  3. "Fake News Detection with Machine Learning in Python" : The url is https://towardsdatascience.com/machine-learning-based-python-fake-news-detection-using-tfidf-80fc892832b8
  4. Fake News Detection with Natural Language Processing in Python" :
  5. The following URL is https://www.analyticsvidhya.com/blog/2018/12/nlp-guide-text-classification-pytho
  6. URL: https://towardsdatascience.com/machine-learning-and-deep-learning-for-fake-news-detection-cc74ee61444e using scikit-learn and Python.
  7. Fake News Detection Using Machine LearninginPython: URL: https://www.geeksforgeeks.org/machine-learning-in-python-fake-news-detection/

Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 268-274
Manuscript Number : SHISRRJ247266
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Dr. K. Shanmugam, Diguvapatala Venkatesh, "Fake News Detection ", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.268-274, March-April.2024
URL : https://shisrrj.com/SHISRRJ247266

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