中国抖音（TikTok）髋部骨折短视频信息质量、内容与用户评论态度分析表1

数据集获取（Figshare）

• 源站标题：Table 1_Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes.docx
• DOI：10.3389/fpubh.2025.1563188.s001
• 发布日期：2025-04-24
• 文件数：1 个
• 文件总体积：692.17 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Hip_fractures_in_Chinese_TikTok_Douyin_short_videos_an_analysis_of_information_quality_content_and_user_comment_attitudes_docx/28853159

命令行下载

curl -L -o "Table 1_Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes.docx" "https://ndownloader.figshare.com/files/53942588"

文件清单

• Table 1_Hip fractures in Chinese TikTok (Douyin) short videos: an analysis of information quality, content and user comment attitudes.docx（692.17 KB）

文件总体积 692.17 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

BackgroundHip fracture presents a major healthcare challenge globally. While numerous Douyin videos address hip fracture, their information quality and factors affecting user comment attitudes remain uncertain.
ObjectiveThis study aims to analyze the content, information quality, and user comment attitudes of videos depicting hip fractures on Chinese TikTok (Douyin).
MethodsThe search term “hip fracture” was used on Douyin, which resulted in 170 samples being included. Video information quality was assessed using the GQS and PEMAT scales. Video content was analyzed using DivoMiner. User comments were extracted using Gooseeker, and user comment attitudes were interpreted as positive, neutral, or negative using the Weiciyun website. Data analysis was performed using IBM SPSS version 29.0, including non-parametric tests for continuous variables and chi-square tests for categorical variables. The identified factors were then included in a multivariate logistic regression analysis to examine their impact on user comment attitudes.
ResultsHealth professionals were the primary source of videos (136/138, 98.6%). The overall information quality of the videos was moderate (median 3, IQR 2.00–4.00). Douyin videos were relatively high in understandability (median 72.70%, IQR 63.60–81.80%) but low in actionability (median 33.33%, IQR 0–66.67%). Most videos focused on treatment (139/170, 81.8%). Regarding user comment attitudes, the majority of videos were received with positive comments (113/170, 66.5%), followed by negative comments (39/170, 22.9%) and neutral comments (18/170, 10.6%). The multivariate logistic regression analysis revealed three factors influencing positive attitudes: the GQS score (OR 13.824, 95% CI 6.033–31.676), understandability (OR 2.281, 95% CI 1.542–5.163) and not mentioning risk factors in videos (OR 0.291, 95%CI 0.091–0.931).
ConclusionThe majority of hip fracture videos on Douyin were created by health professionals and had intermediate information quality, with user comment attitudes remaining positive. However, these videos often lacked actionability and had insufficient mention of prevention and rehabilitation content. Videos with higher inform

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2025.1563188.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Hip_fractures_in_Chinese_TikTok_Douyin_short_videos_an_analysis_of_information_quality_content_and_user_comment_attitudes_docx/28853159）。