Accessibility settings

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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2667) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3179) Peer-to-Peer Support and Online Communities (998) Information Seeking, Information Needs (651) Formative Evaluation of Digital Health Interventions (5079)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95025, first published .
Woman in blue turtleneck making a heart shape with hands, smiling at laptop

Quantifying the Intensity of Online Social Support via Large Language Model–Based Evidence Extraction: Development and Validation Study

Quantifying the Intensity of Online Social Support via Large Language Model–Based Evidence Extraction: Development and Validation Study

Authors of this article:

Dahyeon Park1 Author Orcid Image ;   Daejin Choi2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Dahyeon Park   1 , BS ;   Daejin Choi   2 , PhD

1 Department of Mathematics, Incheon National University, Incheon, Republic of Korea

2 College of Artificial Intelligence, Ewha Womans University, Seoul, Republic of Korea

Corresponding Author:

  • Daejin Choi, PhD
  • College of Artificial Intelligence
  • Ewha Womans University
  • 52 Ewhayeodae-gil, Seodaemun-gu
  • Seoul 03760
  • Republic of Korea
  • Phone: 82 2-3277-5947
  • Email: djchoi@ewha.ac.kr