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 .
With the rapid development of COVID-19 around the world , people are requested to maintain "social distance" and "stay at home". In this scenario, extensive social interactions transfer to cyberspace , especially on social media platforms like Twitter and Sina Weibo. People generate posts to share information, express opinions and seek help during the pandemic outbreak , and these kinds of data on social media are valuable for studies to prevent COVID-19 transmissions , such as early warning and outbreaks detection. Therefore, in this paper, we release a novel and fine-grained large-scale COVID-19 social media dataset collected from Sina Weibo, named Weibo-COV, contains more than 40 million posts ranging from December 1, 2019 to April 30, 2020. Moreover, this dataset includes comprehensive information nuggets like post-level information , interactive information, location information , and repost network. We hope this dataset can promote studies of COVID-19 from multiple perspectives and enable better and rapid researches to suppress the spread of this pandemic .
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around the world
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asked
requested
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more and more social interactions move online
extensive social interactions transfer to cyberspace
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platforms
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Sina
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post tweets
generate posts
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outbreak
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tweets
kinds of data
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against COVID19
to prevent COVID-19 transmissions
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and fine-grained
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from Weibo called
collected from Sina Weibo, named
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covering
contains
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tweets from 1 December
posts ranging from December 1,
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30 April
April 30,
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the field information of the dataset is very rich, including basic tweets information
this dataset includes comprehensive information nuggets like post-level information
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and retweet
, and repost
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faster
rapid
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disease
pandemic