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10.1371/journal.pone.0238491 http://scihub22266oqcxt.onion/10.1371/journal.pone.0238491 32936804!7494104!32936804     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2020 ; 15 (9): e0238491 Nephropedia Template TP {{tp|p=32936804|t=2020. COVID-19: Retransmission of official communications in an emerging pandemic |pdf=|usr=}}{{32936804}} gab.com Text COVID-19: Retransmission of official communications in an emerging pandemic JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32936804 #FOAvip As the most visible face of health expertise to the general public, health agencies have played a central role in alerting the public to the emerging COVID-19 threat, providing guidance for protective action, motivating compliance with health directives, and combating misinformation. Social media platforms such as Twitter have been a critical tool in this process, providing a communication channel that allows both rapid dissemination of messages to the public at large and individual-level engagement. Message dissemination and amplification is a necessary precursor to reaching audiences, both online and off, as well as inspiring action. Therefore, it is valuable for organizational risk communication to identify strategies and practices that may lead to increased message passing among online users. In this research, we examine message features shown in prior disasters to increase or decrease message retransmission under imminent threat conditions to develop models of official risk communicators' messages shared online from February 1, 2020-April 30, 2020. We develop a lexicon of keywords associated with risk communication about the pandemic response, then use automated coding to identify message content and message structural features. We conduct chi-square analyses and negative binomial regression modeling to identify the strategies used by official risk communicators that respectively increase and decrease message retransmission. Findings show systematic changes in message strategies over time and identify key features that affect message passing, both positively and negatively. These results have the potential to aid in message design strategies as the pandemic continues, or in similar future events. Twit Text FOAVip COVID-19: Retransmission of official communications in an emerging pandemic ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32936804 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32936804 #FOAvip English Wikipedia <ref>{{Cite pmid|32936804}}</ref> COVID-19: Retransmission of official communications in an emerging pandemic #MMPMID32936804 Sutton J; Renshaw SL; Butts CT PLoS One 2020[]; 15 (9): e0238491 PMID32936804show ga As the most visible face of health expertise to the general public, health agencies have played a central role in alerting the public to the emerging COVID-19 threat, providing guidance for protective action, motivating compliance with health directives, and combating misinformation. Social media platforms such as Twitter have been a critical tool in this process, providing a communication channel that allows both rapid dissemination of messages to the public at large and individual-level engagement. Message dissemination and amplification is a necessary precursor to reaching audiences, both online and off, as well as inspiring action. Therefore, it is valuable for organizational risk communication to identify strategies and practices that may lead to increased message passing among online users. In this research, we examine message features shown in prior disasters to increase or decrease message retransmission under imminent threat conditions to develop models of official risk communicators' messages shared online from February 1, 2020-April 30, 2020. We develop a lexicon of keywords associated with risk communication about the pandemic response, then use automated coding to identify message content and message structural features. We conduct chi-square analyses and negative binomial regression modeling to identify the strategies used by official risk communicators that respectively increase and decrease message retransmission. Findings show systematic changes in message strategies over time and identify key features that affect message passing, both positively and negatively. These results have the potential to aid in message design strategies as the pandemic continues, or in similar future events. |*Betacoronavirus[MESH] |*Communicable Diseases, Emerging[MESH] |*Communication[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |*Social Media/statistics & numerical data[MESH] |COVID-19[MESH] |Chi-Square Distribution[MESH] |Emergencies[MESH] |Emergency Medical Services/organization & administration[MESH] |Government Agencies[MESH] |Humans[MESH] |Information Dissemination/*methods[MESH] |Internet[MESH] |Mass Media[MESH] |Models, Statistical[MESH] |Models, Theoretical[MESH] |Public Health Administration[MESH] |SARS-CoV-2[MESH]COVID-19: Retransmission of official communications in an emerging pan(epmc).pdf DeepDyve Pubget Overpricing