About: A first look at COVID-19 information and misinformation sharing on Twitter

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A first look at COVID-19 information and misinformation sharing on Twitter
Creator	Bansal, Shweta Vraga, Emily Bode, Leticia Budak, Ceren Chi, Guangqing Kawintiranon, Kornraphop Padden, Colton Singh, Lisa Vanarsdall, Rebecca Wang, Yanchen
Source	ArXiv
abstract	Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media, specifically Twitter, with respect to COVID-19, the themes of discussion, where the discussion is emerging from, myths shared about the virus, and how much of it is connected to other high and low quality information on the Internet through shared URL links. Our preliminary findings suggest that a meaningful spatio-temporal relationship exists between information flow and new cases of COVID-19, and while discussions about myths and links to poor quality information exist, their presence is less dominant than other crisis specific themes. This research is a first step toward understanding social media conversation about COVID-19.
has issue date	2020-03-31(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c853c874fd2d9e083ed2e0de1ada857683805ce3
resource representing a document's title	A first look at COVID-19 information and misinformation sharing on Twitter
resource representing a document's body	covid:c853c874fd2d9e083ed2e0de1ada857683805ce3#body_text
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