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  Published Paper Details:

  Paper Title

A SURVEY ON WELFAKE: WORD EMBEDDING OVER LINGUISTIC FEATURES FOR FAKE NEWS DETECTION

  Authors

  Shaheed Pasha,  Manjula G,  Rajshekar S A

  Keywords

Online fake stories, Machine-learning, fake stories, text editing, social.

  Abstract


One of the most significant innovations is the Internet, and most people utilize it. These individuals use this for various purposes. For these people, there are several different social networking sites. Any user can submit messages or distribute information on these internet forums. Users or their postings are not guaranteed on such forums. Therefore, some individuals attempt to distribute fake information through these forums. Such false stories are lies to an individual, a community, an organization, or a political party. One cannot see all these false stories. Therefore, machine learning components that can recognize these false stories automatically are required. In this study of official papers, the employment of machine readable receivers for false information is discussed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207197

  Paper ID - 223109

  Page Number(s) - b513-b517

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.30940

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shaheed Pasha,  Manjula G,  Rajshekar S A,   "A SURVEY ON WELFAKE: WORD EMBEDDING OVER LINGUISTIC FEATURES FOR FAKE NEWS DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.b513-b517, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207197.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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