**Fake news** is a term used to describe false or misleading information presented as real news. This type of information often spreads through social media and other online platforms and can have **serious consequences** for individuals and society. 

Fake news can range from **simple factual errors** to **complex, fabricated stories** designed to manipulate public opinion or gain financial or political advantages. That is why it is crucial for individuals to **identify fake news** and verify information before sharing it.

You can understand the importance of being able to **identify fake news**. For example, one of Elon Musk’s first actions as chairman of Twitter was to remove hundreds of thousands of **bot accounts** that were spreading fake news constantly. 

With that in mind, let’s dive deeper into our project! We will use two datasets with labeled news (**Fake** or **True**).

> Note
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> Some of the code cells may take more than 10 seconds to run.

In this project, we are going to classify news and identify the fake ones.