Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning

Abstract

Social media, such as Twitter, plays a crucial role in political discourse and communication. It is the window of voters to their candidates, and what senators publish may determine their success in the elections. A deep analysis is needed to comprehend the current situation and generate strategies to reach the audience. This paper joins the creation of a self-made dataset, using machine learning topic models, analyzing how geography influences the political landscape, and employing a proposed popularity metric to explain the current political landscape and provide insights about the most influential senators and their discourse.