ArticleBMC public health2013
Social media use by community-based organizations conducting health promotion: a content analysis.
Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Twitter as a Tool for Health Research: A Systematic Review.American journal of public health · 2017Pooled it
- Use and taxonomy of social media in cancer-related research: a systematic review.American journal of public health · 2014Pooled it
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- Tweeted, Trolled, Twisted: Battling for Narrative Control in E-Cigarette Use Prevention Campaigns (2014-2020).Journal of health communication · 2025Article
- Facebook's shared articles on HPV vaccination: analysis of persuasive strategies.BMC public health · 2024Article
- Facebook Intervention for Young-Onset Melanoma Survivors and Families: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2023Article
- Reliability, Quality, and Educational Suitability of TikTok Videos as a Source of Information about Scoliosis Exercises: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2022Article
- Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment.Journal of medical Internet research · 2022Article
- Engaging Remote Aboriginal Communities in COVID-19 Public Health MessagingFrontiers in public health · 2022Article
- Community-Based Organizations as Effective Partners in the Battle Against Misinformation.Frontiers in public health · 2022Article
- Impact of COVID-19 on the outreach strategy of cancer social service agencies in Singapore: A pre-post analysis with Facebook data.Journal of biomedical informatics · 2021Article
- Mining and Validating Social Media Data for COVID-19-Related Human Behaviors Between January and July 2020: Infodemiology Study.Journal of medical Internet research · 2021Article
- Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC.Frontiers in public health · 2021Article
- Social Media Strategies for Health Promotion by Nonprofit Organizations: Multiple Case Study Design.Journal of medical Internet research · 2020Article
- Committed to Health: Key Factors to Improve Users' Online Engagement through Facebook.International journal of environmental research and public health · 2020Article
- Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research.Journal of medical Internet research · 2020Article
- How organisations promoting vaccination respond to misinformation on social media: a qualitative investigation.BMC public health · 2019Article
- Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis.JMIR public health and surveillance · 2019Article
- Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017.International journal of environmental research and public health · 2019Article
- Barriers and opportunities in the translation of mobile phone and social media interventions between research and health promotion practice in Australia: a qualitative study of expert perspectives.Health research policy and systems · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundCommunity-based organizations (CBOs) are critical channels for the delivery of health promotion programs. Much of their influence comes from the relationships they have with community members and other key stakeholders and they may be able to harness the power of social media tools to develop and maintain these relationships. There are limited data describing if and how CBOs are using social media. This study assesses the extent to which CBOs engaged in health promotion use popular social media channels, the types of content typically shared, and the extent to which the interactive aspects of social media tools are utilized.
methodsWe assessed the social media presence and patterns of usage of CBOs engaged in health promotion in Boston, Lawrence, and Worcester, Massachusetts. We coded content on three popular channels: Facebook, Twitter, and YouTube. We used content analysis techniques to quantitatively summarize posts, tweets, and videos on these channels, respectively. For each organization, we coded all content put forth by the CBO on the three channels in a 30-day window. Two coders were trained and conducted the coding. Data were collected between November 2011 and January 2012.
resultsA total of 166 organizations were included in our census. We found that 42% of organizations used at least one of the channels of interest. Across the three channels, organization promotion was the most common theme for content (66% of posts, 63% of tweets, and 93% of videos included this content). Most organizations updated Facebook and Twitter content at rates close to recommended frequencies. We found limited interaction/engagement with audience members.
conclusionsMuch of the use of social media tools appeared to be uni-directional, a flow of information from the organization to the audience. By better leveraging opportunities for interaction and user engagement, these organizations can reap greater benefits from the non-trivial investment required to use social media well. Future research should assess links between use patterns and organizational characteristics, staff perspectives, and audience engagement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.