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

LGBTQ Issues (453) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Mass Media/Social Media Communication and Campaigns (466)

Published on in Vol 6, No 1 (2020): Jan-Mar

Predictors of User Engagement With Facebook Posts Generated by a National Sample of Lesbian, Gay, Bisexual, Transgender, and Queer Community Centers in the United States: Content Analysis

Predictors of User Engagement With Facebook Posts Generated by a National Sample of Lesbian, Gay, Bisexual, Transgender, and Queer Community Centers in the United States: Content Analysis

Predictors of User Engagement With Facebook Posts Generated by a National Sample of Lesbian, Gay, Bisexual, Transgender, and Queer Community Centers in the United States: Content Analysis

Authors of this article:

William C Goedel1 Author Orcid Image ;   Harry Jin1 Author Orcid Image ;   Cassandra Sutten Coats2 Author Orcid Image ;   Adedotun Ogunbajo2 Author Orcid Image ;   Arjee J Restar2 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Journals

  1. Olamijuwon E, Odimegwu C. Sexuality Education in the Digital Age: Modelling the Predictors of Acceptance and Behavioural Intention to Access and Interact with Sexuality Information on Social Media. Sexuality Research and Social Policy 2022;19(3):1241 View
  2. Olamijuwon E, Clifford O, Adjiwanou V. Understanding how young African adults interact with peer-generated sexual health information on Facebook and uncovering strategies for successful organic engagement. BMC Public Health 2021;21(1) View
  3. Wang F, Cheng T, Chemakin K, Rothchild E, Ricci J. TransTok – An analysis of surgical gender affirmation content on TikTok. Journal of Plastic, Reconstructive & Aesthetic Surgery 2023;84:214 View