ArticlePeerJ2026
Quality, reliability and popularity assessment of Turkish YouTube videos on human papillomavirus and its vaccine: content analysis.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Study of Human Papillomavirus Vaccine-Related Social Media Content Across Eight Social Media Platforms: Scoping Review of Communication Content, Information Sources, and Analytical Approaches.Journal of medical Internet research · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Human papillomavirus (HPV) is among the most common sexually transmitted viral infections and is associated with significant health burdens, including genital warts and various cancers. YouTube has emerged as a frequently used platform for accessing health-related information, yet the quality and reliability of such content remain uncertain. Individuals seeking information about HPV and its vaccine frequently turn to YouTube, underscoring the need for systematic evaluation of online video content related to HPV vaccination, given its potential to directly influence public engagement and vaccine acceptance. Analyzing YouTube videos provides insight into the level of information users are exposed to, the potential risks of misinformation, and the overall reliability of health-related digital content. Such evaluations contribute to strengthening public health strategies and support efforts to enhance access to accurate and trustworthy information. Objective: This study aimed to evaluate the information quality, reliability, and popularity of Turkish-language YouTube videos related to HPV and the HPV vaccine. Methods: This cross-sectional study was conducted on the YouTube platform using the keywords 'HPV,' 'HPV vaccine ("HPV aşısı"),' and 'human papillomavirus,' and the videos were viewed between July 1 and 31, 2025. The first 200 videos for each keyword were screened, and those meeting the inclusion criteria were analyzed. Video characteristics ( Results: A total of 600 videos were analyzed, with 270 of them meeting the inclusion criteria. The mean duration was 5.62 ± 13.98 minutes (range: 0.12-147), and the mean number of views was 35,829.5 ± 156,796.8 (range: 131-2,260,592). The mean DISCERN, JAMA, and VPI scores of the videos were calculated as 47.6 ± 15.1 (range: 16-80), 1.9 ± 0.9 (range: 0-4), and 82.9 ± 318.6 (range: 0-3,980), respectively. More than half of the videoswere prepared by healthcare professionals (52.9%, Conclusions: Currently, YouTube has become a frequently utilized platform for sharing health information. However, a significant portion of the analyzed HPV-related content is inadequate in terms of information quality and reliability. Promoting longer-duration, current and evidence-based videos prepared by healthcare professionals that cite reliable sources may contribute to the improvement of digital health literacy in the general population.
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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.