Feature Extraction in Rumour Detection Model: Classification & Significance

Abstract

In modern life, social media is playing a vital role; the cutting edge internet based life has attracted a huge following. As connectivity and accessibility of networks has amplified it has subsequently increased the use of social media. With the increase in social media accessibility, the speed of spreading rumours i.e. the unverified information has also increased. For detection and interception of rumours over social media a lot of research has been done. The paper, along with highlighting the prominent research done in rumour detection; focuses on the process of rumour generation and detection both. The purpose of this paper is to highlight the phase of feature extraction in the rumor detection process i.e. how and why it is significant. The paper shows the importance of feature identification by forming categorizations and finding their impact in the rumour detection process.