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.
Cite
Text
Cozar et al. "Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy Using Unsupervised Machine Learning." ICML 2023 Workshops: LXAI, 2023.Markdown
[Cozar et al. "Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy Using Unsupervised Machine Learning." ICML 2023 Workshops: LXAI, 2023.](https://mlanthology.org/icmlw/2023/cozar2023icmlw-unleashing/)BibTeX
@inproceedings{cozar2023icmlw-unleashing,
title = {{Unleashing the Power of Twitter: A Data Analysis of the US Senate's Social Media Strategy Using Unsupervised Machine Learning}},
author = {Cozar, Miguel and Losa, Carlos Munoz and Shu, Kai},
booktitle = {ICML 2023 Workshops: LXAI},
year = {2023},
url = {https://mlanthology.org/icmlw/2023/cozar2023icmlw-unleashing/}
}