ArticleBMJ global health2025
Using behavioural science to design public health social media campaigns.
Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Evaluating a Behavioral Insights-Informed Social Media Campaign to Increase HPV Vaccination During Routine Immunization in Nigeria.Vaccines · 2026Article
- Reframing preventive health communication: from individual compliance to collective action.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Communicating health risks via social media is an important objective for public health organisations. Behavioural science theoretical constructs can help enhance the design, implementation and evaluation of social media campaigns. In this Practice article, we document the WHO's experience in developing social media messaging using gist and verbatim constructs to influence risk perceptions related to measles and intentions related to measles vaccination. We share our experience to support other public health communication practitioners who may seek to incorporate behavioural science into their social media campaigns to achieve desired shifts in health-related attitudes and intentions in target audiences.
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What OpenQuestion holds
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.