MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1177/14604582261485143

Медицинская библиотека · Health informatics journal · 2026

Assessment of Dengue fever-related videos on TikTok (Douyin) and YouTube: A cross-sectional study on quality, content, and reliability.

Wang Meiying, Gu Hongxia, Zhang Yuyue

СтатьяПеревод в очереди

Аннотация

ObjectiveThis study aimed to evaluate the quality and reliability of dengue fever-related videos on social media platforms.MethodsA cross-sectional study was conducted on January 10, 2026. Top 120 videos from each platform (YouTube and Douyin) were screened. Video characteristics were extracted. Quality and reliability were assessed using the Global Quality Scale (GQS), modified DISCERN, JAMA Benchmark criteria, and the Content Completeness Score (CCS).Results170 videos (70 from YouTube, 100 from Douyin) were included. YouTube videos were longer (118.50 vs. 78.50, Z = -3.79, p < 0.001), had higher CCS (8.00 vs. 6.00, Z = -3.50, p < 0.001) and mDISCERN scores (3.00 vs. 2.50, Z = -3.74, p < 0.001). YouTube videos were dominated by institutions (91.43%), followed by 8.57% healthcare professionals (HCPs), whereas nearly one third of contributors on Douyin were HCPs (31.00%). Associations between engagement and quality indicators were generally weak and varied across metrics, while engagement indicators on Douyin were strongly intercorrelated.ConclusionsYouTube provided more comprehensive and reliable information, whereas Douyin content was shorter and less comprehensive. Both platforms showed inconsistent alignment between popularity and informational quality, with this disconnect appearing more pronounced on Douyin.

Для цитирования: Wang Meiying, Gu Hongxia, Zhang Yuyue. Assessment of Dengue fever-related videos on TikTok (Douyin) and YouTube: A cross-sectional study on quality, content, and reliability.. Health informatics journal. 2026. DOI: 10.1177/14604582261485143.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.