Predicting Fake News using NLP and Machine Learning

The ratio is disturbed from being 1:1 to 4:5 for genuine to fake news. It is seen that the median length is lower for fake articles but it also has loads of outliers. It is seen that they start from 0 which is concerning. It actually starts from 1 when I used .describe() to see the numbers. So I took a look at these texts and found that they are blank.