Twitter上哮喘讨论的质量
Twitter上哮喘讨论质量评估数据集,包含热门推文和链接的内容分析。

基本信息
资源简介
Twitter上哮喘讨论的质量
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 71.29 KB,主题涵盖 Asthma、Social Media、Healthcare Communication、Digital Health,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Quality of the discussion of asthma on twitter》。配套论文《Quality of the discussion of asthma on twitter》发表于 Journal of Asthma(2020),DOI:10.1080/02770903.2020.1847933。项目资助方:InCHIP–UConn Center for mHealth and Social Media Seed Grant for Research on Social Media and Health.。源站首次发布:2022-02-11。
【数据内容】
源站原始描述:Introduction Patients obtain a large amount of medical information online. Much of this information may not be reliable or of high quality. We investigated what influences the discussion of asthma on Twitter by evaluating the most popular tweets and the quality of the links shared. Methods We used Symplur Signals to extract data from Twitter examining characteristics of the top 100 most shared tweets and the 50 most shared links that included the hashtag #asthma. Information on each site was ass…
【数据结构与技术规格】
文件数 1 个,合计 71.29 KB。ijas_a_1847933_sm8027.pptx:application/vnd.openxmlformats-officedocument.presentationml.presentation,71.29 KB。数据集 DOI:10.6084/m9.figshare.13265577.v2。
【主题与分类】
源站学科分类:Medicine、Molecular Biology、Chemical Sciences not elsewhere classified、Sociology、Biological Sciences not elsewhere classified、Science Policy。主题标签:Asthma、Social Media、Healthcare Communication、Digital Health。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/presentation/Quality_of_the_discussion_of_asthma_on_twitter/13265577
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Quality of the discussion of asthma on twitter. Taylor & Francis. Kaul, Viren; Szakmany, Tamas; Peters, Jay I.; Stukus, David; Sala, Kathleen A.; Dangayach, Neha; et al
【使用注意】
· 源站最后修改于 2026-05-17,引用时请注意版本时效。
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:Quality of the discussion of asthma on twitter
- DOI:10.6084/m9.figshare.13265577.v2
- 发布日期:2022-02-11
- 文件数:1 个
- 文件总体积:71.29 KB
- 源站页面:https://tandf.figshare.com/articles/presentation/Quality_of_the_discussion_of_asthma_on_twitter/13265577
命令行下载
curl -L -o "ijas_a_1847933_sm8027.pptx" "https://ndownloader.figshare.com/files/25546677"
文件清单
ijas_a_1847933_sm8027.pptx(71.29 KB)
文件总体积 71.29 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
Introduction
Patients obtain a large amount of medical information online. Much of this information may not be reliable or of high quality. We investigated what influences the discussion of asthma on Twitter by evaluating the most popular tweets and the quality of the links shared.
Methods
We used Symplur Signals to extract data from Twitter examining characteristics of the top 100 most shared tweets and the 50 most shared links that included the hashtag #asthma. Information on each site was assessed using an Asthma Content score, and validated DISCERN scores and HONCode criteria.
Results
The top 100 asthma-related tweets were shared 10,169 times and had 16,044 likes. Healthcare organizations posted 49 of the top 100 tweets, non-healthcare individuals posted 20, non-healthcare organizations posted 16 and clinicians posted 14. Of the top 100 tweets, 62 were educational, 11 research-related, 10 political and 15 promotional. The top 50 links were shared 6009 times (median number of shares 92 per link (range 60-710)). Links most commonly (42%) led to educational content while 24% of links led to research articles, 22% to promotional websites, and 12% to political websites. Educational links had higher Asthma Content scores than other links (p Conclusion
The top tweets using the hashtag #asthma were commonly educational. The majority of top links on Twitter scored poorly on asthma content, quality, and reliability.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.13265577.v2(source: https://tandf.figshare.com/articles/presentation/Quality_of_the_discussion_of_asthma_on_twitter/13265577)。
数据缺失?
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