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ABSTRACT: Background
At the time of this writing, the coronavirus disease (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources, and economies around the world. Social distancing measures, travel bans, self-quarantines, and business closures are changing the very fabric of societies worldwide. With people forced out of public spaces, much of the conversation about these phenomena now occurs online on social media platforms like Twitter.Objective
In this paper, we describe a multilingual COVID-19 Twitter data set that we are making available to the research community via our COVID-19-TweetIDs GitHub repository.Methods
We started this ongoing data collection on January 28, 2020, leveraging Twitter's streaming application programmi
SUBMITTER: Chen E
PROVIDER: S-EPMC7265654 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature