Exploring parents’ views of the use of narratives to promote childhood vaccination online
Bibliographic record
Abstract
BACKGROUND: Negative information about vaccines that spreads online may contribute to parents' vaccine hesitancy or refusal. Studies have shown that false claims about vaccines that use emotive personal narratives are more likely to be shared and engaged with on social media than factual evidence-based public health messages. The aim of this study was to explore parents' views regarding the use of positive narratives to promote childhood vaccination. METHODS: We identified three ∼4-minute video narratives from social media that counter frequent parental concerns about childhood vaccination: parents and informed decision-making (online misinformation about vaccines); a paediatrician's clinical experience with vaccine-preventable diseases (prevention of still existing diseases); and a mother's experience with vaccine-preventable disease (risks of the disease). Focus group discussions were held with parents of children aged 0 to 5 years to assess their views on these three narratives and their general opinion on the use of narratives as a vaccine promotion intervention. RESULTS: Four focus groups discussions were virtually held with 15 parents in December 2021. In general, parents trusted both health care provider's and parent's narratives, but participants identified more with stories having a parent as the main character. Both narratives featuring personal stories with vaccine-preventable diseases were preferred by parents, while the story about informed decision-making was perceived as less influential. Parents expressed the need for reliable and nuanced information about vaccines and diseases and felt that a short video format featuring a story was an efficient vaccine promotion intervention. However, many mentioned that they generally are not watching such videos while navigating the Web. CONCLUSION: While vaccine-critical stories are widely shared online, evidence on how best public health could counter these messages remains scarce. The use of narratives to promote vaccination was well-perceived by parents. Future studies are needed to assess reach and impact of such an intervention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".