桥本甲状腺炎医学信息视频来源评估数据表
评估YouTube、Bilibili、TikTok上桥本甲状腺炎医学信息视频的质量数据集,包含视频参数与专家工具评分。

基本信息
资源简介
桥本甲状腺炎医学信息视频来源评估数据表
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 23.25 KB,主题涵盖 Hashimoto’s thyroiditis、hypothyroidism、social media、health education、public health,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx》。配套论文《Use of YouTube as an Information Source for Radioactive Iodine Therapy: Do YouTube Videos Have High Quality?》发表于 Molecular Imaging and Radionuclide Therapy(2022),DOI:10.4274/mirt.galenos.2021.85530。源站首次发布:2025-10-15。
【数据内容】
源站原始描述:IntroductionHashimoto’s thyroiditis (HT), a common autoimmune thyroid disorder, is widely discussed on video-sharing platforms. However, user-generated content about HT lacks systematic scientific validation. This study evaluates the reliability and quality of HT-related videos on three major social media platforms: YouTube, Bilibili, and TikTok. MethodsBetween December 1, 10, 2024, the top 200 videos meeting the criteria retrieved under default search settings using a newly registered user acco…
【数据结构与技术规格】
文件数 1 个,合计 23.25 KB。Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,23.25 KB。数据集 DOI:10.3389/fpubh.2025.1611087.s003。
【主题与分类】
源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:Hashimoto’s thyroiditis、hypothyroidism、social media、health education、public health。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_Videos_on_YouTube_Bilibili_TikTok_as_sources_of_medical_information_on_Hashimoto_s_thyroiditis_docx/30362650
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wang, Shiqi; Jia, Siyu; Su, Yanjun; Cheng, Ruochuan (2025). Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx. Frontiers. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx
- DOI:10.3389/fpubh.2025.1611087.s003
- 发布日期:2025-10-15
- 文件数:1 个
- 文件总体积:23.25 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_Videos_on_YouTube_Bilibili_TikTok_as_sources_of_medical_information_on_Hashimoto_s_thyroiditis_docx/30362650
命令行下载
curl -L -o "Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx" "https://ndownloader.figshare.com/files/58750102"
文件清单
Data Sheet 2_Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto’s thyroiditis.docx(23.25 KB)
文件总体积 23.25 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
IntroductionHashimoto’s thyroiditis (HT), a common autoimmune thyroid disorder, is widely discussed on video-sharing platforms. However, user-generated content about HT lacks systematic scientific validation. This study evaluates the reliability and quality of HT-related videos on three major social media platforms: YouTube, Bilibili, and TikTok.
MethodsBetween December 1, 10, 2024, the top 200 videos meeting the criteria retrieved under default search settings using a newly registered user account were included for each platform. These videos were from 107 YouTube accounts, 56 Bilibili accounts and 90 TikTok accounts. Metrics including video parameters and creator profiles were recorded. Content quality was evaluated using five validated assessment tools: PEMAT (Patient Education Materials Assessment Tool), VIQI (Video Information and Quality Index), GQS (Global Quality Score), mDISCERN (modified DISCERN), and JAMA (Journal of the American Medical Association) standards.
ResultsTikTok videos showed the highest audience engagement. YouTube had more team-based accounts (43.9%), while TikTok and Bilibili predominantly featured individual accounts, with TikTok featuring a notably higher proportion of verified individual accounts (86.7%). Solo narration was the most common video style across YouTube (62.5%) and TikTok (70.0%), while in Bilibili, it was the medical scenario. In contrast, YouTube and Bilibili offered a broader range of content, including TV programs, documentaries, and educational courses. The varying emphases of different assessment tools rendered it difficult to determine which platform boasts the highest content quality, but the video quality scores across all platforms are not satisfying. Additionally, we found that content produced by verified creators was of higher quality compared to that of unverified creators, with this trend being particularly evident among individual accounts.
ConclusionSocial media platforms provide partial support for the dissemination of health information about HT, but the overall video quality remains suboptimal. We recommend that professional creators pursue platform certification to enhance the dissemination of high-
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2025.1611087.s003(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_Videos_on_YouTube_Bilibili_TikTok_as_sources_of_medical_information_on_Hashimoto_s_thyroiditis_docx/30362650)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




