This paper is in the following e-collection/theme issue:

Theme Issue: Reproductive Informatics (59) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1771) Infodemiology and Infoveillance (1443) Natural Language Processing (791) Obstetrics, Gynecology, and Reproductive Medicine (273)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46342, first published .
Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research

Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research

Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research

Authors of this article:

Elizabeth Pleasants1 Author Orcid Image ;   Julia Holmes Ryan1 Author Orcid Image ;   Cheng Ren2 Author Orcid Image ;   Ndola Prata1 Author Orcid Image ;   Anu Manchikanti Gomez2 Author Orcid Image ;   Cassondra Marshall1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Pleasants E, Parham L, Weidert K, Anderson E, Dolgins E, Prata N, Marshall C, Cheshire C, Upadhyay U. “Is This Normal?”: A Qualitative Exploration of Narratives of Social Support in a Reddit-Based Community for Abortion Following the Dobbs Leak in 2022. Women's Reproductive Health 2024:1 View
  2. Chen X, Ren C, Thomas T. Evaluating tenant-landlord tensions using generative AI on online tenant forums. Journal of Computational Social Science 2025;8(2) View
  3. Groene N, Nickel A, Rohn A. Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing–Based Content Analysis. JMIR AI 2025;4:e68809 View

Conference Proceedings

  1. Garg S, Rathi M. 2023 Second International Conference on Informatics (ICI). Prognostication of the Termination of Contraceptive Utilization: An In-depth Analysis View