"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

June 29, 2018

Day #116 - Fake news detector

There are different kinds of Fake news

  • Manipulating Event reported date, place and parties involved - - Fabricated news everything Fake
  • Spreading Hatred against Specific groups
  • Hate Messages

Solution Approach

  • Step #1 - Using Naive Bayes to classify them Hate messages 
  • Step #2 - Using Multiple sources to validate news details (Location, Date, news type verification)
  • Step #3 - Validate the parties involved by comparing articles on same news
  • Step #4 - On Major variations from reported news alert
  • Step #5 - Facebook or google they will have large volumes of corpus to train, find more specific details on Fake news - Origination, Place, Time, ethnicity, Age group, Target Audience, Depending on them you can pre-screen news from such audience
Happy AI Learning!!!

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