Political polarization drives online conversations about COVID-19 in the United States

被引:128
作者
Jiang, Julie [1 ,2 ]
Chen, Emily [1 ,2 ]
Yan, Shen [1 ,2 ]
Lerman, Kristina [1 ,2 ]
Ferrara, Emilio [1 ,2 ,3 ]
机构
[1] Univ Southern Calif, USC Informat Sci Inst, Los Angeles, CA 90007 USA
[2] Univ Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA
[3] Univ Southern Calif, Annenberg Sch Commun, Los Angeles, CA 90007 USA
关键词
communication dynamics; content analysis; coronavirus; COVID-19; geospatial analysis; network analysis; partisanship; polarization; social media platforms; user behavior modeling;
D O I
10.1002/hbe2.202
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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 United States 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 U.S. 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.
引用
收藏
页码:200 / 211
页数:12
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