
Immediate Study about Themes Emerged in the Twitter Posts about the Roe v. Wade Leaked
- 1 University of Liverpool
- 2 Basis International School Park Lane Harbour
- 3 Green Hope High School
- 4 University of California
- 5 Fuzhou University
* Author to whom correspondence should be addressed.
Abstract
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.
Keywords
Roe v. Wade leaked version, twitter, Themes analysis, Immediate study
[1]. Mane, H., Yue, X., Yu, W., Doig, A. C., Wei, H., Delcid, N., Harris, A.-G., Nguyen, T. T. and Nguyen, Q. C. (2022) 'Examination of the Public’s Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans', Healthcare, 10(12), pp. 2390. Available at: https://www.mdpi.com/2227-9032/10/12/2390.
[2]. Rao, A., Rong-Ching Chang, Qiankun Zhong, Wojcieszak, M., & Lerman, K. (2023). #RoeOverturned: Twitter Dataset on the Abortion Rights Controversy [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/STU0J5
[3]. Pinto, G. (2023) Analyzing the Overturning of Roe vs Wade on Twitter Using Natural Language Processing Techniques. M.S., Chapman University, United States -- California [Online] Available at: https://liverpool.idm.oclc.org/login?url=https://www.proquest.com/dissertations-theses/analyzing-overturning-roe-vs-wade-on-twitter/docview/2813501983/se-
[4]. Dai, Z., & Higgs, C. (2023). Social Network and Semantic Analysis of Roe v. Wade’s Reversal on Twitter. Social Science Computer Review, 42(1), 186–200. https://doi.org/10.1177/08944393231178602
[5]. Heaton, K. (2023). BANS OFF MY BODY: ABORTION RIGHTS MOVEMENT ON TWITTER FOLLOWING THE OVERRULING OF ROE V. WADE. https://doi.org/10.5281/ZENODO.7851369
[6]. Ujah, O. I., Olaore, P., Nnorom, O. C., Ogbu, C. E., & Kirby, R. S. (2023). Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach. Frontiers in Global Women's Health, 4: 1-14. DOI: 10.3389/fgwh.2023.1149441.
[7]. Lewandowska, M. (2022) 'The fall of Roe v Wade: the fight for abortion rights is universal', BMJ, 377, pp. o1608. DOI: 10.1136/bmj.o1608.
[8]. Crawford, B. L., Jozkowski, K. N., Turner, R. C. and Lo, W.-J. (2022) 'Examining the Relationship Between Roe v. Wade Knowledge and Sentiment Across Political Party and Abortion Identity', Sexuality Research and Social Policy, 19(3), pp. 837-848. DOI: 10.1007/s13178-021-00597-4.
Cite this article
Xiong,X.;Xiong,K.;Luo,J.;Duan,Y.;Zheng,X. (2025). Immediate Study about Themes Emerged in the Twitter Posts about the Roe v. Wade Leaked. Communications in Humanities Research,56,7-16.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of 3rd International Conference on Interdisciplinary Humanities and Communication Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).