The web and internet are very important to a very huge number of people and it has a large number of users. These users use these platforms for different purposes. There are many social media platforms that are available to these users. Any user can make a spread or post the news/message through these online social platforms. Even though the algorithms used by social media platforms are updated meticulously, they still are not efficient enough to filter out the fake news or make the essential information viral first where it is needed so that the information surrounding that specific region benefits the people living there before the news reaches out to the rest of the world. One of the biggest methods of fake news contribution is social bots. Social bots generate the content automatically and spread among the social media users. In this work, we propose an effective approach to detect fake news / false information using machine learning techniques. We provide a tool to detect fake news using Naive Bayes technique with high accuracy. We show the results on two data sets by using our tool.