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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Analysis of Fake News Detection Algorithms in Machine Learning |
| Authors Name: | Hemanth Kumar Nandigam , K. Subhash Chandra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_184552
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| Published Paper Id: | IJRTI2211031 |
| Published In: | Volume 7 Issue 11, November-2022 |
| DOI: | |
| Abstract: | One can easily say in today’s world, information aka news to few is more precious than money itself. This news needs to be in authentic form which is usually found in adulterated version. Leading us to have a dire need for an identification of real news from any possible fake news. News, being a form of information can be subjective to the proofs and source for its authenticity. As a human, one can easily identify real news from fake news with the help of one’s innate capability to deduce logic and outlandish source of the information piece. Just that one needs few trusted sources to check for the facts and myths. But on a real time basis, there is a dire need for some software which can nip such ‘false news’ in its bud. Leading it to be one of the most researched area nowadays. Primarily being a part of Information Retrieval, this area is taking up a lot of attention from researchers worldwide to come up with a real-time solution for such an issue. In this article we have checked and analysed many research articles along with many survey articles and summed up this paper so as to provide the readers with a short idea of what fake news is, it's different flavours in the news spectrum, its characteristics and identification basic. We also included the different methods used by prior researchers in the same field. Using few researches as examples we learned about the basics of those methods used in fake news identification. The future aspects are also included in this article along with the challenges one faces while doing research in this very field. |
| Keywords: | Fake News, survey, identification, real news, dataset, types of fake news |
| Cite Article: | "Analysis of Fake News Detection Algorithms in Machine Learning ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.194 - 200, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211031.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2211031
Registration ID:184552
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 194 - 200 Country: N.T.R, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2211031 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2211031 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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