About: Political Polarization Drives Online Conversations About COVID‐19 in the United States

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Political Polarization Drives Online Conversations About COVID‐19 in the United States
Creator	Chen, Emily Ferrara, Emilio Lerman, Kristina Correspondence, Emilio Ferrara, Jiang, Julie
Source	Medline; PMC
abstract	Since the outbreak in China in late 2019, the novel coronavirus (COVID‐19) has spread around the world and has come to dominate online conversations. By linking 2.3 million Twitter users to locations within the United States, we study in aggregate how political characteristics of the locations affect the evolution of online discussions about COVID‐19. We show that COVID‐19 chatter in the US is largely shaped by political polarization. Partisanship correlates with sentiment toward government measures and the tendency to share health and prevention messaging. Cross‐ideological interactions are modulated by user segregation and polarized network structure. We also observe a correlation between user engagement with topics related to public health and the varying impact of the disease outbreak in different US states. These findings may help inform policies both online and offline. Decision‐makers may calibrate their use of online platforms to measure the effectiveness of public health campaigns, and to monitor the reception of national and state‐level policies, by tracking in real‐time discussions in a highly polarized social media ecosystem.
has issue date	2020-06-18(xsd:dateTime)
bibo:doi	10.1002/hbe2.202
bibo:pmid	32838229
has license	no-cc
sha1sum (hex)	379ed730f6170ec761180d6075ee1a2d668038ae
schema:url	https://doi.org/10.1002/hbe2.202
resource representing a document's title	Political Polarization Drives Online Conversations About COVID‐19 in the United States
has PubMed Central identifier	PMC7323338
has PubMed identifier	32838229
schema:publication	Hum Behav Emerg Technol
resource representing a document's body	covid:379ed730f6170ec761180d6075ee1a2d668038ae#body_text
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