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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

BACKGROUND: Lesbian, gay, bisexual, transgender, and queer (LGBTQ) community centers remain important venues for reaching and providing crucial health and social services to LGBTQ individuals in the United States. These organizations commonly use Facebook to reach their target audiences, but little...

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Autores principales: Goedel, William C, Jin, Harry, Sutten Coats, Cassandra, Ogunbajo, Adedotun, Restar, Arjee J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013651/
https://www.ncbi.nlm.nih.gov/pubmed/32012104
http://dx.doi.org/10.2196/16382
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author Goedel, William C
Jin, Harry
Sutten Coats, Cassandra
Ogunbajo, Adedotun
Restar, Arjee J
author_facet Goedel, William C
Jin, Harry
Sutten Coats, Cassandra
Ogunbajo, Adedotun
Restar, Arjee J
author_sort Goedel, William C
collection PubMed
description BACKGROUND: Lesbian, gay, bisexual, transgender, and queer (LGBTQ) community centers remain important venues for reaching and providing crucial health and social services to LGBTQ individuals in the United States. These organizations commonly use Facebook to reach their target audiences, but little is known about factors associated with user engagement with their social media presence. OBJECTIVE: This study aimed to identify factors associated with engagement with Facebook content generated by LGBTQ community centers in the United States. METHODS: Content generated by LGBTQ community centers in 2017 was downloaded using Facebook’s application programming interface. Posts were classified by their content and sentiment. Correlates of user engagement were identified using negative binomial regression. RESULTS: A total of 32,014 posts from 175 community centers were collected. Posts with photos (incidence rate ratio, [IRR] 1.07; 95% CI 1.06-1.09) and videos (IRR 1.54; 95% CI 1.52-1.56) that contained a direct invitation for engagement (IRR 1.03; 95% CI 1.02-1.04), that expressed a positive sentiment (IRR 1.11; 95% CI 1.10-1.12), and that contained content related to stigma (IRR 1.16; 95% CI 1.14-1.17), mental health (IRR 1.33; 95% CI 1.31-1.35), and politics (IRR 1.28; 95% CI 1.27-1.29) received higher levels of engagement. CONCLUSIONS: The results of this study provide support for the use of Facebook to extend the reach of LGBTQ community centers and highlight multiple factors that can be leveraged to optimize engagement.
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spelling pubmed-70136512020-03-05 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 Goedel, William C Jin, Harry Sutten Coats, Cassandra Ogunbajo, Adedotun Restar, Arjee J JMIR Public Health Surveill Original Paper BACKGROUND: Lesbian, gay, bisexual, transgender, and queer (LGBTQ) community centers remain important venues for reaching and providing crucial health and social services to LGBTQ individuals in the United States. These organizations commonly use Facebook to reach their target audiences, but little is known about factors associated with user engagement with their social media presence. OBJECTIVE: This study aimed to identify factors associated with engagement with Facebook content generated by LGBTQ community centers in the United States. METHODS: Content generated by LGBTQ community centers in 2017 was downloaded using Facebook’s application programming interface. Posts were classified by their content and sentiment. Correlates of user engagement were identified using negative binomial regression. RESULTS: A total of 32,014 posts from 175 community centers were collected. Posts with photos (incidence rate ratio, [IRR] 1.07; 95% CI 1.06-1.09) and videos (IRR 1.54; 95% CI 1.52-1.56) that contained a direct invitation for engagement (IRR 1.03; 95% CI 1.02-1.04), that expressed a positive sentiment (IRR 1.11; 95% CI 1.10-1.12), and that contained content related to stigma (IRR 1.16; 95% CI 1.14-1.17), mental health (IRR 1.33; 95% CI 1.31-1.35), and politics (IRR 1.28; 95% CI 1.27-1.29) received higher levels of engagement. CONCLUSIONS: The results of this study provide support for the use of Facebook to extend the reach of LGBTQ community centers and highlight multiple factors that can be leveraged to optimize engagement. JMIR Publications 2020-01-28 /pmc/articles/PMC7013651/ /pubmed/32012104 http://dx.doi.org/10.2196/16382 Text en ©William C C. Goedel, Harry Jin, Cassandra Sutten Coats, Adedotun Ogunbajo, Arjee J Restar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 28.01.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Goedel, William C
Jin, Harry
Sutten Coats, Cassandra
Ogunbajo, Adedotun
Restar, Arjee J
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013651/
https://www.ncbi.nlm.nih.gov/pubmed/32012104
http://dx.doi.org/10.2196/16382
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