Document Type
Poster
Publication Date
Fall 2020
Abstract
Through data analysis, we can explore the intersection of social media and politics. Focusing on election fraud in the 2020 presidential election, I collected 36,000 tweets and used topic modeling to analyze the tweets. Using topic modeling to find word frequency and topics, I was able to further understand how social media, specifically Twitter, interacts with individual’s views of US democracy and the electoral process. Throughout the project, it becomes clear that social media is a platform that can be used to amplify anxiety, fear, concerns, and misinformation. This study of voter fraud provides insights into the inner workings of social media itself.
Recommended Citation
Noorily, Jill, "2020 Election Fraud: What Can Twitter Teach Us?" (2020). IPHS 200: Programming Humanity. Paper 31.
https://digital.kenyon.edu/dh_iphs_prog/31
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.