数据表1_评估BiliBili和TikTok上放射治疗科普视频的科学质量:横断面研究

评估BiliBili与TikTok上200个中文放射治疗科普视频科学质量与可靠性的横断面研究数据表。

NIAID Data Ecosystem
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表格radiotherapyshort video platformshealth communicationinformation qualitycontent reliability
Data Sheet 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx

基本信息

模态
表格
大小
0.000116656 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

数据表1_评估BiliBili和TikTok上放射治疗科普视频的科学质量:横断面研究

【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 116.66 KB,主题涵盖 radiotherapy、short video platforms、health communication、information quality、content reliability,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 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx》。配套论文《Quality and Reliability of Liver Cancer–Related Short Chinese Videos on TikTok and Bilibili: Cross-Sectional Content Analysis Study》发表于 Journal of Medical Internet Research(2023),DOI:10.2196/47210。源站首次发布:2026-02-13。

【数据内容】

源站原始描述:BackgroundWith the proliferation of short video platforms such as BiliBili and TikTok, public reliance on these platforms for medical information has increased substantially. However, the absence of standardized content regulation raises serious concerns about misinformation, oversimplification, and variable quality in health communication. Radiotherapy, a cornerstone of cancer treatment alongside surgery and chemotherapy, is particularly vulnerable to such information quality issues due to its…

【数据结构与技术规格】

文件数 1 个,合计 116.66 KB。Data Sheet 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,116.66 KB。数据集 DOI:10.3389/fpubh.2026.1668189.s001。

【主题与分类】

源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:radiotherapy、short video platforms、health communication、information quality、content reliability。

【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_1_Assessing_the_scientific_quality_of_radiotherapy_popularization_videos_on_BiliBili_and_TikTok_a_cross-sectional_study_docx/31331068

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Han, Jingru; Li, Xiao; Li, Man; Wu, Xuanxuan (2026). Data Sheet 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx. Frontiers. Dataset

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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。

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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)

命令行下载

curl -L -o "Data Sheet 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx" "https://ndownloader.figshare.com/files/61861426"

文件清单

  • Data Sheet 1_Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.docx(116.66 KB)

文件总体积 116.66 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

BackgroundWith the proliferation of short video platforms such as BiliBili and TikTok, public reliance on these platforms for medical information has increased substantially. However, the absence of standardized content regulation raises serious concerns about misinformation, oversimplification, and variable quality in health communication. Radiotherapy, a cornerstone of cancer treatment alongside surgery and chemotherapy, is particularly vulnerable to such information quality issues due to its technical complexity and limited public understanding. This necessitates systematic evaluation of the scientific accuracy and reliability of radiotherapy content on these platforms.
MethodsIn this cross-sectional study, the top 100 Chinese-language videos related to “放射治疗” (radiotherapy) were collected from BiliBili and TikTok (total n = 200). Video quality and reliability were assessed via the Global Quality Score (GQS) and modified DISCERN tools. Nonparametric tests and Spearman correlation analyses were applied. Two independent radiotherapy specialists evaluated the content, with a third resolving discrepancy.
ResultsOverall video quality and reliability were moderate (median GQS = 3; DISCERN = 3). BiliBili demonstrated higher DISCERN scores (p This study evaluated 200 radiotherapy videos on BiliBili and TikTok. BiliBili showed higher reliability (DISCERN), whereas TikTok excelled in terms of user engagement. Recommendations include optimizing scientific communication, platform quality-based algorithms prioritizing authoritative content, and enhancing public media literacy. The findings can guide improvements in digital medical education.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2026.1668189.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Assessing_the_scientific_quality_of_radiotherapy_popularization_videos_on_BiliBili_and_TikTok_a_cross-sectional_study_docx/31331068)。

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