Fake News Detection Using Data Mining Techniques

Abstract

Social Media is becoming the most popular web site to seek news day by day because of the easy access facility worldwide. It’s very cost-effective and people can easily collect news & entertainment from any corner of the world with just a simple click. It’s helping the world to be open on the other hand it’s true that a rumor can make disaster within a minute which is very easy to spread by such open media. The availability of low-quality news and false information can mislead the readers & which is done intentionally by a group of people. In this century of digital society, fake news & rumor are the biggest threats because it can easily bring several negative impacts on society. It’s very much challenging for readers to differentiate between fake news and real news. Some of the online news portal, blogs & sites who have no proper authorization to publish news but they are continually publishing different types of rumors or worthless news but with spicy headlines to seek the attention of readers which made it challenging to identify reliable and authorized news sources. They intend to spread rumor & earn revenue by making advertisements on their sites. This could make sufferers a large number of peoples at a time. In this paper, we focus on the automatic identification of fake news by using a novel algorithm that’s “decision tree algorithm”. We may not stop fake news from being made but we can limit to share it. To make limitations on any site, we need assistance from the concerned department of a state or government. Our target is to select headlines of news & send them to the algorithm as well as stop the spread of news which is identified as fake news by the decision tree algorithm. To be successful, we need the help of the central information cell of a country. Our vision is to stop the deceptive information & rumor by limiting the propagation of fake news in social media as well as web sites. It is very challenging but our novel algorithm will perform well to detect fake news and able to get high accuracy over time.