MétaCan
Menu
Back to cohort
Record W4412846058 · doi:10.1080/03630242.2025.2539818

HPV vaccine reporting in Taiwan: media and politics, 2005–2018

2025· article· en· W4412846058 on OpenAlexaff
Darren Liu, Chiung-Ying Kuan, Yao-Mao Chang, Tung‐liang Chiang

Bibliographic record

VenueWomen & Health · 2025
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsHealth Research Foundation
Fundersnot available
KeywordsNewspaperPoliticsGuidelineHealth communicationPolitical scienceMedia coveragePublic relationsMedicineContent analysisMass mediaNews mediaFamily medicineAdvertisingBusinessSociologyMedia studies

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.040
GPT teacher head0.397
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueWomen & HealthSame topicCervical Cancer and HPV ResearchFrench-language works237,207