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

Theme Issue 2022: Reproductive Informatics (41) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1567) Infodemiology and Infoveillance (1272) Natural Language Processing (643) Natural Language Processing (27) Obstetrics, Gynecology, and Reproductive Medicine (197)

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 (1) Tweetations (3) Metrics

Elizabeth Pleasants   1 , MPH ;   Julia Holmes Ryan   1 , MSc ;   Cheng Ren   2 , MSSA ;   Ndola Prata   1 , MSc, MD ;   Anu Manchikanti Gomez   2 , MSc, PhD ;   Cassondra Marshall   1 , MPH, DrPH

1 School of Public Health, University of California, Berkeley, CA, United States

2 School of Social Welfare, University of California, Berkeley, CA, United States

Corresponding Author:

  • Elizabeth Pleasants, MPH
  • School of Public Health
  • University of California
  • 2121 Berkeley Way West
  • Berkeley, CA, 94704
  • United States
  • Phone: 1 9197248993
  • Email: b_pleasants@berkeley.edu