Experimental Predictive Analytics Algorithms to Detect Fake News: A Survey

Fake news can warp our perspective of reality, controlling the decisions we make as individuals and as a collective. The rise of social media and the fall of professional journalism has made the uproar of fake news stronger. Additional studies, literature, and research are essential in battling this predicament. Thus, this paper aims to contextualize the detrimental impact of fake news, providing valid arguments for its presence, and running through the traditional non-technological methods of fact-checking. Upon doing so, this study presents a survey of fact-checking AI algorithms, providing an overview and areas for deeper understanding and improvement. We conclude with suggestions and room for future exploration.