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# FAKE NEWS DETECTION

## Abstract:
Fake news, one of the biggest new age problems has the potential to mould opinions and influence decisions.The proliferation of fake news on social media and Internet is deceiving people to an extent which needs to be stopped.
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The extensive spread of fake news  has  the  potential  for  extremely  negative  impacts  on individuals and society.  Therefore, fake news detection on social media has recently become an emerging research that is  attracting  tremendous  attention.
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 <img src="http://contaxlaw.com/wp-content/uploads/2018/01/fake_news_fb_event_cover.png" alt="fake news icon" width="500px">

## Fake news:
Fake news is written and published with the intent to mislead in order to damage an agency, entity, or person, and/or gain financially or politically,often using sensationalist, dishonest, or outright fabricated to increase readership, online sharing, and Internet click revenue.

<img src="https://freepresskashmir.com/wp-content/uploads/2018/02/fake-news-times-now-zee-tv.jpg" alt="fake news icon" width="500px">


## Introduction:
Fake news has been around for decades and is not a new concept. However, the dawn of the social media age which can be approximated by the start of the 20th century has aggravated the generation and circulation of fake news many folds. Fake news can be simply explained as a piece of article which is usually written for economic, personal or political gains. Detection of such bogus news articles is possible by using various NLP techniques, Machine learning, and Artificial 
intelligence.



### Languages used:

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    *  HTML
    *  CSS
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    *  JS
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    *  PYTHON
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### Team members are:

    *  Marupaka koushik
    *  chowhan jai singh
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    *  B.Mohan Sai         
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    *  ch.Bhavani           
    *  Bharath chandra  
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    *  Butta Glory          
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