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

User-Centered Design Case Studies (725) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1944) Peer-to-Peer Support and Online Communities (825) Infodemiology and Infoveillance (1580) mHealth for Wellness, Behavior Change and Prevention (3391) Information Quality in Digital Media (412) Public Information and Campaigns on Mental Health (16)

Published on in Vol 12 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69817, first published .
Exploring Mental Health Content Moderation and Well-Being Tools on Social Media Platforms: Walkthrough Analysis

Exploring Mental Health Content Moderation and Well-Being Tools on Social Media Platforms: Walkthrough Analysis

Exploring Mental Health Content Moderation and Well-Being Tools on Social Media Platforms: Walkthrough Analysis

Authors of this article:

Zoë Haime1, 2 Author Orcid Image ;   Lucy Biddle1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Bai D, Gu Y. Harnessing Big Data, Hindered by Bias: Evaluating TikTok Research API for Fair and Optimal Social Sciences. Social Science Computer Review 2026 View
  2. Haime Z, Biddle L. Developing Social Media Platforms’ Mental Health Policy and Practice. Digital Society 2026;5(1) View