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Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic
Elizabeth Pleasants1,2, Ndola Prata3, Ushma D Upadhyay4
1School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
JMIR Infodemiology
|July 9, 2025
Summary
Online abortion communities show changing user interests following the Dobbs decision. Discussions shifted from decision-making to self-managed abortion access, highlighting the internet's role in navigating care.
Area of Science:
- Digital Health
- Public Health
- Sociology of Health
Background:
- US abortion access is rapidly changing post-Dobbs v Jackson Women's Health Organization decision (June 2022).
- Online communities are increasingly vital for individuals seeking abortion information and support.
- Understanding online resource use is crucial for tracking evolving abortion experiences.
Purpose of the Study:
- To analyze content from an online abortion community (r/abortion) in 2022 using natural language processing.
- To identify shifts in community discussions before and after the Dobbs decision.
Main Methods:
- Topic modeling was applied to 7273 posts from r/abortion in 2022.
- Posts were analyzed across three periods: pre-Dobbs leak, Dobbs leak to decision, and post-Dobbs decision.
- Topics were aggregated into conceptual groups to track changes in user interests.
Main Results:
- Eight conceptual groups emerged: decision-making, access barriers, clinical care, medication abortion, post-abortion experiences, potential pregnancy, and self-managed abortion.
- Navigating access barriers was the most frequent topic.
- Posts on decision-making decreased, while self-managed abortion discussions significantly increased after the Dobbs leak and decision.
Conclusions:
- Online communities like r/abortion serve as critical abortion-supportive resources.
- User interests within these communities dynamically reflect changes in abortion policy and access.
- Natural language processing offers a timely method for monitoring diverse abortion experiences, including those outside clinical settings.
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