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

Letters to the Editor (4) JMIR Theme Issue: COVID-19 Special Issue (2561) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1544) Outbreak and Pandemic Preparedness and Management (1843) Infectious Diseases (non-STD/STI) (1747) Artificial Intelligence (2310) Natural Language Processing (945) Depression and Mood Disorders; Suicide Prevention (1745) Validity, Reliability, and Bias (115)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42545, first published .
Selection Bias in Digital Conversations on Depression Before and During COVID-19

Selection Bias in Digital Conversations on Depression Before and During COVID-19

Selection Bias in Digital Conversations on Depression Before and During COVID-19

Authors of this article:

Edward Lee1 Author Orcid Image ;   Davin Agustines2 Author Orcid Image ;   Benjamin K P Woo2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Immel D, Hilpert B, Schwarz P, Hein A, Gebhard P, Barton S, Hurlemann R. Patients’ and Health Care Professionals’ Expectations of Virtual Therapeutic Agents in Outpatient Aftercare: Qualitative Survey Study. JMIR Formative Research 2025;9:e59527 View