Machine Learning Model For Classifying Fake News In Kenya

Abstract

The revolution in the digital age to the information age to the growth of social networks into go-to news sources and primary information pools has seen a change in the conventional approach to political information dissemination. This, unfortunately, also saw social media abuse through targeted mis- and dis-information to sway public opinion for political gain. Applied machine learning was a solution that bears promise. This research proposal explored the next level in Automated Machine learning to track and classify fake news in the Kenyan environment targeted on the Facebook Platform by applying Natural Language Processing at scale in renowned cloud computing frameworks. This study would build multiple models and select the superior one for the final deployment of inaccurate word scenarios.