Immediate Study about Themes Emerged in the Twitter Posts about the Roe v. Wade Leaked
Xinyang Xiong, Kaiki Xiong, Jiawei Luo, Yifan Duan, Xiaoyan Zheng · Communications in Humanities Research · 2025
The present study instantaneously aims at analyzing the themes that have cropped up in the Twitter posts about the Roe v. Wade leaked version and to explore the themes which have cropped up in sampled Twitter data of the leaked version. Data, in this present study, is based on a sample of Twitter tweets on the leaked Roe v.Wade ruling. It identifies themes and emotions within textual data by text mining, sentiment analysis, and topic modeling. These are then incorporated into the MDCOR system, thus making available a fully fledged toolset for large-scale textual data analysis. Results: The findings extract two main theme codes and their sentiment distribution, along with their high-frequency words. The results indicated that the most used keywords were "roevswade," "abortionrights," and "woman." Sentiment analysis shows negative, fear, and sadness as the dominant feelings. Therefore, this study provides a data foundation for investigating the themes emerging in Twitter posts regarding the Roe v. Wade leaked version, able to help enterprises or governments develop intervention strategies and understand public opinion.