COVID-19社会科学研究机构和新闻媒体推文数据集

Name: COVID-19社会科学研究机构和新闻媒体推文数据集
Creator: narcisoyu

多国机构和新闻媒体关于COVID-19的推文数据集，用于社会科学研究。

narcisoyu

GitHub

2023-01-28 更新

文本COVID-19文本

基本信息

模态

文本

创建/更新时间

2023-01-28

资源简介

该数据集包含COVID-19疫情期间来自多个国家（如美国、英国、中国、西班牙、法国、德国等）的机构和新闻媒体推文，通过Twitter REST API收集，用于社会科学研究。

原始链接

https://github.com/narcisoyu/Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research

访问原始数据

官方服务

如需原始数据获取支持或标注服务，请联系我们。

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下载信息

注册下载

Tips: 该数据集需要在对应的数据源网站注册通过后，才能进行数据下载，注册有对应要求，或者需要收费。

暂未开放

公开下载

Tips: 该数据集属于公开下载，应该可以免费公开下载。

免登录

有偿下载

Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务，注意，服务不针对数据相关产权，只是技术服务费。

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

千方医数集，医疗数据集部分，是为社区服务的公开医疗数据集搜索引擎，并不存储或者下载原始的任何数据。如果您有其他医疗数据需求，可以和客服联系，或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。

使用方式

数据集获取

git clone https://github.com/narcisoyu/Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research.git

curl -L -o repo.zip https://github.com/narcisoyu/Institutional-and-news-media-tweet-dataset-for-COVID-19-social-science-research/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

Open access data repository for institutional/news media tweet dataset in the time of COVID-19 pandemic
Detail information pre-print avaliable at: https://arxiv.org/abs/2004.01791

#IMPORTANT INFORMATION

As Twitter has provided a new academic API, which gives access to full historical data, this dataset will be no longer updated since Feb 20, 2021.
Thank you very much for all your interests in this small project.

#UPDATE EVERY THURSDAY

News media and government/international organization tweets across different countries (eg. US, UK, China, Spain, France, Germany etc)
Feel free to share this repo.
Data collected using twitter REST API.
First data collection at March 12, 2020 (updated on my PC every week).
This means the first time I collect the most recent 3200 tweets (official limits) of all the target accounts, then update weekly.
##V1.46
Last update: from Feb 11 to Feb 17
##V1.45
update data from Feb 04 to Feb 10
##V1.44
update data from Jan 28 to Feb 03

@GuiseppeConteIT (has resigned) and @socialstyrelsen tweeted 0 message.
I will no longer update eu_leadership from the next week
##V1.43
update data from Jan 21 to Jan 27

##V1.42
update data from Jan 14 to Jan 20

@socialstyrelsen tweeted 0 message

##V1.41
update data from Jan 7 to Jan 13

election_us has been removed from my tracking list

##V1.40
update data from Dec 31 to Jan 6 (2021)

@socialstyrelsen tweeted 0 message

##V1.39
update data from Dec 24 to Dec 30

@Itamaraty_EN tweeted 0 message

##V1.38
update data from Dec 17 to Dec 23

Merry Xmas

##V1.37
update data from Dec 10 to Dec 16

Due to their low tweeting frequency, @BrazilGovNews and @French_Gov have been removed from my tracking list.

##V1.36
update data from Dec 3 to Dec 9

@BrazilGovNews and @French_Gov tweet 0 message

##V1.35
update data from Nov 26 to Dec 2

@BrazilGovNews and @French_Gov tweet 0 message

##V1.34
update data from Nov 19 to Nov 25

@BrazilGovNews and @French_Gov tweet 0 message

##V1.33
update data from Nov 12 to Nov 18

@BrazilGovNews and @French_Gov tweet 0 message

##V1.32
update data from Nov 5 to Nov 11

@BrazilGovNews and @French_Gov tweet 0 message

##V1.31
update data from Oct 29 to N

数据加载示例（表格/文本类）

import pandas as pd, glob, os

files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))