HPV vaccine reporting in Taiwan: media and politics, 2005–2018
Bibliographic record
Abstract
This study analyzes the media coverage of HPV vaccines in Taiwan from 2005 to 2018, with a focus on adherence to World Health Organization (WHO) media guidelines and the influence of election cycles on reporting patterns. A content analysis of 911 articles from four major newspapers revealed peaks in 2008, 2014, and 2018 election years, coinciding with vaccines policy rollouts. Most articles (78 percent) appeared in national news sections, with medical professionals cited in 36.3 percent of cases. Coverage primarily emphasized vaccine policy (36.3 percent) and health education (36.4 percent), with 83 percent of articles portraying HPV vaccination positively and 88 percent explicitly endorsing it. However, only 42 percent adhered to WHO's media communication guidelines, and headlines often misaligned with article content. These findings highlight the media's advocacy role during key political and public health events, while underscoring the need for improved journalistic practices to ensure accurate, guideline-consistent vaccine communication.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".