UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2104256


Registration ID:
307250

Page Number

409-413

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Title

DETECTING MIS-INFORMATION ON SOCIAL MEDIA USING MACHINE LEARNING

Abstract

Due to social media people are becoming more exposed to the fake news. It promotes the spread of negativity in the society. Thus fake news detection is becoming one of the major part of the IT industry. Fake news Detection is the non-trivial task, which requires multi-source information such as news content, social context, and dynamic information. Fake news cannot be detected simply based on news contents. In addition to news content, user engagement and social behaviour should also be explored. For example a credible users signal that “this is a fake news” is enough to determine the authenticity. Certain other information like social behaviour of news , the way it has been used by user etc are also important factors. Thus Dataset which contain news content, social context and dynamic information could help in fake news detection. So In our system we provide a way to user in which fake news can be detected. The system uses data mining which provides a way to user to easily detect fake news by using various data mining algorithms

Key Words

ds— News , Mis-Information ,Fake-News,Dataset, Detection

Cite This Article

"DETECTING MIS-INFORMATION ON SOCIAL MEDIA USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.409-413, April-2021, Available :http://www.jetir.org/papers/JETIR2104256.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DETECTING MIS-INFORMATION ON SOCIAL MEDIA USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp409-413, April-2021, Available at : http://www.jetir.org/papers/JETIR2104256.pdf

Publication Details

Published Paper ID: JETIR2104256
Registration ID: 307250
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 409-413
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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