IPHS 300: AI for Humanity
Document Type
Poster
Publication Date
Spring 2025
Abstract
This project uses topic modeling to compare the top topics from Twitter posts with the text of the Supreme Court’s Dobbs v. Jackson ruling, which overturned Roe v. Wade in 2022. I analyzed whether the Court’s reasoning reflected public concerns or was disconnected. While some analysis of the Twitter data exists on the Kaggle dataset I used, I conducted this research independently of those results. By putting the Court’s language and public sentiment side by side, this project explores whether institutions are responding to what people care about.
Recommended Citation
Daughterty, Jessica, "Following the Crowd? A Topic Modeling Analysis of Twitter Discourse and Supreme Court Decisions" (2025). IPHS 300: AI for Humanity. Paper 54.
https://digital.kenyon.edu/dh_iphs_ai/54
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.