JOURNAL ARTICLE

Social Network and Semantic Analysis of Roe v. Wade's Reversal on Twitter.

  • Published In: Social Science Computer Review, 2024, v. 42, n. 1. P. 186 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dai, Zehui; Higgs, Cory 3 of 3

Abstract

This article analyzes public reactions on Twitter to the Supreme Court's June 24, 2022, decision in Dobbs v. Jackson Women's Health, which repealed Roe v. Wade and its subsequent rulings on abortion rights. Using social network analysis and semantic analysis via NodeXL Pro, the study identifies key influencers—including journalists, internet celebrities, activists, professional/non-profit organizations, and politicians—and maps prominent themes such as legal concerns, reproductive rights discourse, distrust of the Court's authority, and political polarization. The findings reveal that while both pro-choice and pro-life voices engaged on Twitter, liberal politicians dominated the political influencer category, and the discourse reflected deep societal divisions with implications for voter behavior in the 2024 U.S. presidential election. The study underscores Twitter's role in shaping public discourse on reproductive health policy and suggests communication strategies for healthcare providers and policymakers amid ongoing polarization.

Additional Information

  • Source:Social Science Computer Review. 2024/02, Vol. 42, Issue 1, p186
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:0894-4393
  • DOI:10.1177/08944393231178602
  • Accession Number:175032446
  • Copyright Statement:Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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