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  Published Paper Details:

  Paper Title

AN EFFECTIVE CONTENT AND NETWORK ANALYSIS ON INTERNET TO IDENTIFY AND RATE DIGITAL MISINFORMATION

  Authors

  Jyothsna Katkuri,  G.Venkat Rami Reddy

  Keywords

Tokenization, Stemming, N-Grams, Bag of Words, Tf-idf, and Support Vector Machine.

  Abstract


Digital Misinformation [pages diffusing Conspiracy-disseminating controversial Information, typically deficit of authentic evidence and sometimes contradictory of the official news] has become so pervasive on Internet that it has been listed by the World Economic Forum (WEF) as one of the major threats to our human society. The objective of the proposed project work is to review and analyze the content and Interpersonal network on Internet platforms which includes Forums, Discussion boards and related areas to identify a lot of misinformation which have been propagated on the Internet platform. In this work, extensive network analysis using Machine Learning mechanism and creation of effective data analysis system etc. which can be used for real-time detection of fake/ misinformation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2010004

  Paper ID - 199417

  Page Number(s) - 36-50

  Pubished in - Volume 8 | Issue 10 | October 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Jyothsna Katkuri,  G.Venkat Rami Reddy,   "AN EFFECTIVE CONTENT AND NETWORK ANALYSIS ON INTERNET TO IDENTIFY AND RATE DIGITAL MISINFORMATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 10, pp.36-50, October 2020, Available at :http://www.ijcrt.org/papers/IJCRT2010004.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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