AI Driven Identification of Fake News Propagation in Twitter Social Media with Geo-Spatial Analysis

Abstract

With an explosion of online users over social media around the globe, we are no longer strangers to anything and anybody. With increased availability and exchange of information, the propagation of fake news and posts has also increased. Fake news refers to falsified versions of facts that get circulated among the general public to deliberately deceive people rapidly in the network. With the dawn of social networking, the dissemination of fake news has increased a lot due to share-ability, speed and lack of accountability. To address such problems on social media, we have presented an innovative geo-spatial detection mechanism for identifying fake news on Twitter. Our artificial intelligence based proposed strategy is implemented based on machine learning to improve accuracy for ensuring appropriate classification of news being posted on the social media platform so that online users may remain aware of getting duped by fake content.