论文标题
开放访问机构和新闻媒体推文数据集，用于社会科学研究
Open access institutional and news media tweet dataset for COVID-19 social science research
论文作者
论文摘要
随着Covid-19迅速成为最关注的全球危机之一，对学术研究数据的需求也在增加。目前，有几个开放式访问Twitter数据集，但是它们都没有专门用于机构和新闻媒体Twitter数据收集，为了填写此空白，我们从69个机构/新闻媒体Twitter帐户中检索了数据，其中17个与政府和国际组织有关，其中52个是北美，欧洲和亚洲的新闻媒体。我们认为，我们的开放访问数据可以为研究人员提供更多的可用性来进行社会科学研究。
As COVID-19 quickly became one of the most concerned global crisis, the demand for data in academic research is also increasing. Currently, there are several open access Twitter datasets, but none of them is dedicated to the institutional and news media Twitter data collection, to fill this blank, we retrieved data from 69 institutional/news media Twitter accounts, 17 of them were related to government and international organizations, 52 of them were news media across North America, Europe and Asia. We believe our open access data can provide researchers more availability to conduct social science research.
