Because of simple availability and exponential increase in the amount of information available in social networking site, it's getting more difficult to tell the difference between fake and true information. The ease with which the data may be communicated has contributed in the exponential growth of deception, where it is usual to spread false information, and the trustworthiness of social media networks is also in jeopardy. As a result, determining whether information is fake or true by automatically checking its source, substance, and publisher has become a research challenge. Machine learning has served a key part in determining the classification of data, but with significant drawbacks. This study examines a variety of machine learning techniques for spotting bogus and falsified news