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Tackling Fake News, and Deep Fakes With Artificial Intelligence

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Fake news. Two words you’ll have heard a lot of over the past year or so. It’s been such a popular term that it even made Word of the Year for 2017. But there is a much more to it than being a large part of Trump’s vocabulary.  

This is a ‘uge problem that needs to be addressed and tackled.

So, what is it then? Isn’t ALL news in some way a bit fake – blown out of proportion, exaggerated, politically charged? Well, yes but fake news is a whole other level, it goes beyond the sensationalism of the tabloids we all loathe. It’s a type of propaganda that has garnered much attention in recent years, and this epidemic of ‘yellow journalism’, is extremely damaging and is a massive cause for concern. Given the popularity of social media and online sources, completely bogus headlines and sensationalist content is only fueling political tensions and social divides the world over. 

Interestingly, it was also one of the most popular areas in which Data Scientists are wanting to work this year according to our salary report, data science professionals want to work in detecting fake news, and finding ways in which machine learning can help …

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