A neural network approach towards fake news detection in a surreal world. I will try to use a Machine Learning (ML) technique to classify headlines as fake or not and compare it to humans.
This article came as an idea after 2020 was getting increasingly surreal. The world is becoming stranger and we are receiving more info from sources all over the internet, some of them being dishonest at best. The ability to know if what you read is fake or genuinely bizarre and shocking is getting harder and harder. And with USA elections being less than a month away, it is important to be able to stand out reality from fake news.
I will try to use a Machine Learning (ML) technique to classify headlines as fake or not and compare it to humans.
I think we should start with an experiment. I would use two titles the one is from a fake article (from The Onion) and the other one is from a real article.
The answer isn’t obvious and sadly that’s not the only case. You can find the answer at the end of the article but don’t spoil yourself.
I decided to do one more little experiment. I chose six headlines (three fake and three real). Then I went to Instagram and I did a poll between my followers. I know, the sample is more than biased by not being representative for nothing but my friends, nonetheless it is going to be an indicator.
Collective human knowledge had a success rate (accuracy) of 0.5. Practically not being any better than tossing a coin and relying on pure luck.
Let’s see how the “machines” are going to perform.
As a part of a Machine Learning project, in this article, I will show you Fake News Detection Model with Machine Learning. I will use all the misinformation. Fake News is one of the major concerns in our society right now. It is a very widespread issue that even the most leading media sometimes gets with the trap of Fake News. If it’s difficult for media channels to detect fake news then it’s next to difficult for a general citizen. As a part of a Machine Learning project, in this article, I will show you Fake News Detection with Machine Learning. I will use all the misinformation that we heard from some previous months about coronavirus. So at the end of this article, you will be able to create a fake news detection model on coronavirus.
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