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10.1002/hbe2.202 http://scihub22266oqcxt.onion/10.1002/hbe2.202 C7323338!7323338!32838229     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Hum+Behav+Emerg+Technol 2020 ; 2 (3): 200-11 Nephropedia Template TP {{tp|p=32838229|t=2020. Political polarization drives online conversations about COVID?19 in the United States |pdf=|usr=}}{{32838229}} gab.com Text Political polarization drives online conversations about COVID 19 in the United States JO: Hum Behav Emerg Technol http://www.kidney.de/pget.php?&tw=1&pmid=32838229 #FOAvip 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. Twit Text FOAVip Political polarization drives online conversations about COVID 19 in the United States ????Hum Behav Emerg Technol http://www.kidney.de/pget.php?&tw=1&pmid=32838229 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32838229 #FOAvip English Wikipedia <ref>{{Cite pmid|32838229}}</ref> Political polarization drives online conversations about COVID?19 in the United States #MMPMID32838229 Jiang J; Chen E; Yan S; Lerman K; Ferrara E Hum Behav Emerg Technol 2020[Jul]; 2 (3): 200-11 PMID32838229show ga 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. äPolitical polarization drives online conversations about COVID?19 in t(epmc).pdf DeepDyve Pubget Overpricing