{
  "id": 18855,
  "url": "https://www.jmir.org/2026/1/e95025",
  "title": "Quantifying the Intensity of Online Social Support via Large Language Model–Based Evidence Extraction: Development and Validation Study",
  "summary": "Background: Online social support, the interaction among individuals in which one helps another during difficult situations through online platforms such as online forums or social media, has proliferated as a vital tool for personal mental health care. Despite the growing usage and importance of online social support, prior studies have mainly focused on either understanding the characteristics of support seekers or merely identifying types of support, which leaves room for improvement in 2 key",
  "authors": "Dahyeon Park, Daejin Choi",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T23:15:13.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18855",
  "original_url": "https://www.jmir.org/2026/1/e95025",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}