ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

A RESEARCH PAPER ON FAKE NEWS DETECTION

Abstract

Abstract: - With the popularity of mobile technology and social media growing, information is readily available. Mobile Appand social media platforms have overturned traditional media in the distribution of news. Alongside the incrementin the utilization of online media stages like Facebook, Twitter, and so forth news spread quickly among a large numberof clients with an extremely limited ability to focus time. Machine learning and Knowledge-based approach and approach are the two techniques utilized for investigating the truthiness of the content. Public and private assessments on a wide assortment of subjects are communicated and spread persistently through various online media. Most methodologies are utilized, for example, regulated AI. The spread of phony news has extensive results like the making of one-sided feelings to influencing political race results to support certain applicants. Additionally, spammers utilize engaging news features to produce income utilizing notices through click baits. In this paper, we intend to perform a parallel grouping of differentnews stories accessible online with the help of thoughts identifying with Artificial Intelligence, Natural Language Processing, and Machine Learning. The result of the project determines the fake news detection for social networks using machinelearning and also checks the authenticity of the publishing news website.Keywords: - Fake News, News articles, Internet, Social media, Classification, Artificial Intelligence, Machine Learning

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IMPORTANT DATES 

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Paper Submission Open For  July 2021
UGC indexed  2017-2019
Last date for paper submission 30th July, 2021
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees Rs.1200  ***