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  Authors

Sumaira Farooq,Saqib Gulzar Bhat

  Keywords

Fake news detection; social nets; deep learning; Long-Short Term Memory (LSTM); text classification; words embedding technique

  Abstract


Smart People can quickly obtain and publish the news through many platforms i.e., social media, blogs, and websites, among others. Everything that is available on these plat-forms in not credible and it became imperative to check the credibility of articles be-fore it proves to be detrimental for the society. Multiple initiatives have been taken up by platforms like twitter and Facebook to check the spread of fake news omits platforms. Several researches have been undertaken utilizing machine learning (ML) and deep learning (DL) methodologies to address the problem of determining the re-liability of news. Traditional media solely employed textual content to spread in-formation. However, with the introduction of Web 2.0, fake images have become more readily circulated. The news piece, along with the graphic statistics, lends credibility to the material. The picture data is occasionally supplemented with the news pieces. For this research the prime focus is DL based solutions for text-based fake news detection. This research discusses about various techniques to automated detection of fake news. The paper gives a comparative analysis of various techniques that have been successful in this domain. Various datasets that have been used frequently are also highlighted. Despite various researches have been conduct-ed for tackling fake news, these approaches still lack is some areas like multilingual fake news, early detection and so on.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2302213

  Paper ID - 230993

  Author type - Indian Author

  Page Number(s) - b722-b739

  Pubished in - Volume 11 | Issue 2 | February 2023

  DOI (Digital Object Identifier) -   

  No Of Downloads - 115

  Author Country - India, 192211, Anantnag, Anantnag, 192211, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2302213

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2302213

  Published Paper PDF Downlaod: - download.php?file=IJCRT2302213

  Cite this article

Sumaira Farooq,Saqib Gulzar Bhat,   "DEEP LEARNING TECHNIQUES USED FOR FAKE NEWS DETECTION: A REVIEW AND ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 2, pp.b722-b739, February 2023, Available at :http://www.ijcrt.org/papers/IJCRT2302213.pdf

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