The Use of Travel as an Appeal to Motivate Millennial Parents on Facebook to Get Vaccinated Against COVID-19: Message Framing Evaluation
Bibliographic record
Abstract
BACKGROUND: In summer 2021, the Centers for Disease Control and Prevention recommended that people get fully vaccinated against COVID-19 before fall travel to protect themselves and others from getting and spreading COVID-19 and new variants. Only 61% of parents had reported receiving at least 1 dose of the COVID-19 vaccine, according to a Kaiser Family Foundation study. Millennial parents, ages 25 to 40 years, were a particularly important parent population because they were likely to have children aged 12 years or younger (the age cutoff for COVID-19 vaccine eligibility during this time period) and were still planning to travel. Since Facebook has been identified as a popular platform for millennials and parents, the Centers for Disease Control and Prevention's Travelers' Health Branch determined an evaluation of public health messages was needed to identify which message appeals would resonate best with this population on Facebook. OBJECTIVE: The objective was to evaluate which travel-based public health message appeals aimed at addressing parental concerns and sentiments about COVID-19 vaccination would resonate most with Millennial parents (25 to 40 years old) using Facebook Ads Manager and social media metrics. METHODS: Six travel-based public health message appeals on parental concerns and sentiments around COVID-19 were developed and disseminated to millennial parents using Facebook Ads Manager. The messages ran from October 23, 2021, to November 8, 2021. Primary outcomes included the number of people reached and the number of impressions delivered. Secondary outcomes included engagements, clicks, click-through rate, and audience sentiments. A thematic analysis was conducted to analyze comments. The advertisement budget was evaluated by cost-per-mille and cost-per-click metrics. RESULTS: All messages reached a total of 6,619,882 people and garnered 7,748,375 impressions. The Family (n=3,572,140 people reached, 53.96%; 4,515,836 impressions, 58.28%) and Return to normalcy (n=1,639,476 people reached, 24.77%; 1,754,227 impressions, 22.64%) message appeals reached the greatest number of people and garnered the most impressions out of all 6 message appeals. The Family message appeal received 3255 engagements (60.46%), and the Return to normalcy message appeal received 1148 engagements (21.28%). The Family appeal also received the highest number of positive post reactions (n=82, 28.37%). Most of the comments portrayed negative opinions about COVID-19 vaccination (n=46, 68.66%). All 6 message appeals were either on par with or outperformed cost-per-mille benchmarks set by other similar public health campaigns. CONCLUSIONS: Health communicators can use travel, specifically the Family and Return to normalcy message appeals, to successfully reach parents in their future COVID-19 vaccination campaigns and potentially inform health communication messaging efforts for other vaccine-preventable infectious disease campaigns. Public health programs can also utilize the lessons learned from this evaluation to communicate important COVID-19 information to their parent populations through travel messaging.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".