Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts
Elizabeth Pleasants, Ndola Prata, Ushma D Upadhyay, Cassondra Marshall, Coye Cheshire

TL;DR
This paper uses Reddit posts to study how online communities supported abortion access in 2022, showing shifts in user interests following legal changes.
Contribution
The study introduces dynamic topic modeling to track changing themes in an online abortion community post-Dobbs decision.
Findings
Posts about navigating abortion access barriers were most common in the r/abortion community.
Abortion decision-making discussions decreased after the Dobbs leak, while self-management topics increased.
Natural language processing revealed how policy changes influenced online community engagement and interests.
Abstract
Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women’s Health Organization decision from the US Supreme Court in June 2022. With further constraints on access to abortion since Dobbs, the internet and online communities are playing an increasingly important role in people’s abortion trajectories. There is a need for a broader understanding of how online resources are used for abortion and how they may reflect changes in the sociopolitical and legal context of abortion access. Research using online information and leveraging methods to work efficiently with large textual datasets has the potential to accelerate knowledge generation and provide novel insights into changing abortion-related experiences following Dobbs, helping address these knowledge gaps. This project sought to use natural language processing…
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Taxonomy
TopicsComputational and Text Analysis Methods · Reproductive Health and Contraception
