Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
NLP4COVID@EMNLP(2020)
摘要
With the rapid development of COVID-19, people are asked to maintain "social
distance" and "stay at home". In this scenario, more and more social
interactions move online, especially on social media like Twitter and Weibo.
People post tweets to share information, express opinions and seek help during
the pandemic, and these tweets on social media are valuable for studies against
COVID19, such as early warning and outbreaks detection. Therefore, in this
paper, we release a novel large-scale COVID-19 social media dataset from Weibo
called Weibo-COV, covering more than 40 million tweets from 1 December 2019 to
30 April 2020. Moreover, the field information of the dataset is very rich,
including basic tweets information, interactive information, location
information and retweet network. We hope this dataset can promote studies of
COVID-19 from multiple perspectives and enable better and faster researches to
suppress the spread of this disease.
更多查看译文
关键词
social,media,large-scale large-scale,weibo-cov
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要