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

Theme Issue 2022: Reproductive Informatics (33) Infodemiology and Infoveillance (1166) Ethics, Privacy, and Legal Issues (409) Obstetrics, Gynecology, and Reproductive Medicine (161)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46655, first published .
Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis

Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis

Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis

Authors of this article:

Karl Swanson 1 Author Orcid Image ;   Akshay Ravi 1 Author Orcid Image ;   Sameh Saleh 2, 3 Author Orcid Image ;   Benjamin Weia 1 Author Orcid Image ;   Elizabeth Pleasants 4 Author Orcid Image ;   Simone Arvisais-Anhalt 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View