An Enhanced Fake News Tracking System for Community Policing Using Hybridized Detection Algorithm (HDA)

Fake News is a major problem that critically affects community policing and safety in Nigeria. The Federal Government have taken various steps to counter the scourge of fake news, which may be driven by different motivations, but most important are those that serve as a tool for undermining national security. Community policing is the collaboration between police and the community in the securing of lives and properties. In this work, we developed an Enhanced Fake News Tracking System for Community Policing. Secondly, we adopted Structured System Analysis and Design Methodology (SSADM) in this approach. Our added improvement to the Existing System is a unique data visualization model that interprets verified fake news from social media platforms in form of charts and patterns, store details of the eye-witness that reported the news, and further report to the centralized database system of the National Surveillance Agency for final verification and facts finding of the received news. In addition, the study also recommended that Government should encourage strict disciplinary measures to rumor mongers and spreaders of fake news in community policing.