UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311481


Registration ID:
528778

Page Number

e593-e600

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Title

UnMasking Misleading Information: Exploring a Natural Language Processing Approach for Fake News Detection and Authorship Attribution

Abstract

The abundance of fake news, also known as deep fakes, misinformation, disinformation, and post-truth, has raised concerns about the operation of the Internet and social media in contemporary democracies. Digital dishonesty affects individuals, society, and the economy because of how quickly and widely it is disseminated. The nation's security could also be at peril. The provenance and traceability of data are ensured by blockchain and other distributed ledger technologies (DLTs), which create a peer-to-peer secure platform for information storage and exchange and offer a transparent, unalterable, and verifiable record of transactions. This overview examines how DLTs might be used to avoid digital fraud by identifying the most pertinent applications and the most significant unresolved issues.

Key Words

Text analysis, Natural language processing, Machine learning, Text classification, Authorship identification, Source identification, Text mining, Data analysis, Linguistic patterns

Cite This Article

"UnMasking Misleading Information: Exploring a Natural Language Processing Approach for Fake News Detection and Authorship Attribution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e593-e600, November-2023, Available :http://www.jetir.org/papers/JETIR2311481.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

"UnMasking Misleading Information: Exploring a Natural Language Processing Approach for Fake News Detection and Authorship Attribution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe593-e600, November-2023, Available at : http://www.jetir.org/papers/JETIR2311481.pdf

Publication Details

Published Paper ID: JETIR2311481
Registration ID: 528778
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: e593-e600
Country: SANGA REDDY (TELANGANA), ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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