UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1810B10


Registration ID:
505451

Page Number

403-409

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Title

FAKE NEWS DETECTION: STATE-OF- ART APPROACHES, CHAL-LENGES AND RESEARCH DIRECTIONS

Abstract

“We live in the age of information chaos”. One can undoubtedly say in this day and age, data also known as news too few is more valuable than money itself. This news should be in genuine structure which is typically found in debased form. Driving us to have a critical requirement for an identity of genuine news from any conceivable phony news is the most challenging research thread. News, being a type of data can be abstract to the evidences and hotspot for its credibility. As a human, one can undoubtedly recognize genuine news from counterfeit news with the assis-tance of one's natural ability to conclude rationale and stunning wellspring of the data piece. Simply that one necessity few confided in sources to check for current realities and fantasies. Be that as it may, on an ongoing premise, there is a desperate requirement for some product which can nip such 'bogus news' in its bud. Fundamentally being a piece of Information Retrieval, this research domain is taking up a great deal of consideration from specialists worldwide to concoct a continuous answer for such an issue. In this article we have checked and dissected many case study, survey papers and summarized this paper to give the peer users a short thought of what counterfeit news is, its various flavors in the news range, its attributes and distinguishing proof fundamental. Additionally we have provided various insights on the tools used for fake news detection in real time, challenges and future research directions to the researchers.

Key Words

Fake News, survey, identification, real news, fake news detection tools, types of fake news.

Cite This Article

"FAKE NEWS DETECTION: STATE-OF- ART APPROACHES, CHAL-LENGES AND RESEARCH DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.403-409, October-2018, Available :http://www.jetir.org/papers/JETIR1810B10.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

"FAKE NEWS DETECTION: STATE-OF- ART APPROACHES, CHAL-LENGES AND RESEARCH DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp403-409, October-2018, Available at : http://www.jetir.org/papers/JETIR1810B10.pdf

Publication Details

Published Paper ID: JETIR1810B10
Registration ID: 505451
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 403-409
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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