Social media algorithm predicts winners with 92 percent accuracy

The It Score is a machine learning algorithm that gathers chatter surrounding a political candidate from social, and traditional media sources in order to provide a gauge of their digital influence. It accounts for tone, how people are reacting to a politician, the buzz surrounding the candidate, and what people are saying about the politician. Whatever candidate has the highest It Score will likely win in the election. The machine learning algorithm was trained off of actual primary election results. The original algorithm was predicting at 67% accuracy, but overtime it learned. Currently it is predicting at 92% accuracy, and has a standard error of 5. PoliticIt’s hope is to refine this algorithm so that political candidates can use it to receive real-time feedback on campaign performance.