RUMOUR DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING

Abstract

With the inception of Web 2.0 [1] and the increasing ease of access methods and devices, more and more people are getting online, making Web indispensable for everyone. The globally accepted new technology paradigm, SMAC (Social media, Mobile, Analytics and Cloud) generates an infinite ocean of data spreading faster and larger than earlier [2]. Active participation is a key element that builds the social web media. Numerous social networking sites like Twitter, YouTube and Facebook have become popular among the masses. It allows people to build connection networks with other people & share various kinds of information in a simple and timely manner. Today, anyone, anywhere with the Internet connection can post information on the Web. But like every coin has its two sides, this technological innovation of social media also has some good as well as bad aspects. We are really benefited by social media but we cannot oversee its negative effects in society. Most people admire it as a revolutionary invention and some seem to take it as a negative impact on the society. As a positive case, these online communities facilitate communication with people around the globe regardless your physical location. The perks include building connection in society, eliminating communication barriers and helping as effective tools for promotion whereas on the flip side privacy is no more private when sharing on social media.