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An "Infodemic": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak

scientific article published on 7 April 2020

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An "Infodemic": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak (English)

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COVID-19-related data

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Richard J. Medford

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10.1101/2020.04.03.20052936

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.04.03.20052936

27 May 2020

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Sameh N. Saleh

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10.1101/2020.04.03.20052936

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.04.03.20052936

27 May 2020

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Andrew Sumarsono

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10.1101/2020.04.03.20052936

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.04.03.20052936

27 May 2020

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Trish M. Perl

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10.1101/2020.04.03.20052936

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.04.03.20052936

27 May 2020

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Christoph U. Lehmann

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10.1101/2020.04.03.20052936

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7 April 2020

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https://opencitations.net/index/api/v1/citations/10.1101/2020.01.30.927871

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10.1101/2020.04.03.20052936

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10.1101/2020.04.03.20052936

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https://api.crossref.org/v1/works/http://dx.doi.org/10.1101/2020.04.03.20052936

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27 May 2020

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1126273373

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Dimensions COVID-19 publications, datasets and clinical trials

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10.6084/M9.FIGSHARE.11961063

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28 May 2020

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215782125

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(Q90377323)

An "Infodemic": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak

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