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

Theme Issue: Reproductive Informatics (59) Obstetrics, Gynecology, and Reproductive Medicine (277) Natural Language Processing (801) Mobile Health (mhealth) (3156)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47131, first published .
Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study

Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study

Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study

Authors of this article:

Marianela Ciolfi Felice1 Author Orcid Image ;   Marie Louise Juul Søndergaard2 Author Orcid Image ;   Madeline Balaam1 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

Journals

  1. 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
  2. Lampinen A, Balaam M, Yadav D, Campo Woytuk N, Ciolfi Felice M, Park J, Blanco Cardozo R. Shared Use of Intimate Technology: A Large-Scale Qualitative Study on the Use of Natural Cycles as a Digital Contraceptive. Proceedings of the ACM on Human-Computer Interaction 2025;9(2):1 View

Conference Proceedings

  1. Park J. Designing Interactive Systems Conference. Designing with Discomfort: A Feminist Approach towards Intimate Care Technologies View
  2. Campo Woytuk N, Tuli A, Park J, Turmo Vidal L, Tobin D, Reddy A, Vincenzi B, Maslik J, Ciolfi Felice M, Balaam M. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Toward Feminist Ways of Sensing the Menstruating Body View
  3. Zhu J, Sanches P, Tsaknaki V, van der Maden W, Kaklopoulou I. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. The Centers and Margins of Modeling Humans in Well-being Technologies View