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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM12446
Volume:
6 |
4 |
Apr 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Most of the smart phone users prefer to read the news via social media over internet. The news websites are publishing the news and provide the source of authentication. The question is how to authenticate the news and articles which are circulated among social media like WhatsApp groups, Facebook Pages, Twitter and other micro blogs & social networking sites.[1] This kind of fake news when spread may have a severe effect. Hence it is extremely essential that certain measures should be taken in order to reduce or distinguish between real and fake news. This paper presents a survey on fake news detection based on various supervised, unsupervised and semi supervised machine learning techniques. With the help of machine learning it is tried to determine whether the news is real or fake using Support Vector Machine.
KEYWORDS
Publication Date
4/24/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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