Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy using Unsupervised Machine Learning
Keywords: US senate, Machine Learning, Topic Modeling, Data Analysis, BERTopic, Twitter, Online Social Network Analysis, Politics
TL;DR: Our paper analyzes the whole US Senate Twitter network, the discourse of the senators, and their geographical circumstances to explain the current US political landscape.
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.
Volunteer As A Reviewer: Yes
Student Author: Yes, masters student
Latinx Presenter: Yes
Location Author: Chicago, IL, United States
Submission Number: 2
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