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10.1371/journal.pone.0251179 http://scihub22266oqcxt.onion/10.1371/journal.pone.0251179 33951083!8099101!33951083     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 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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (5): e0251179 Nephropedia Template TP {{tp|p=33951083|t=2021. Social media and public perception as core aspect of public health: The cautionary case of @realdonaldtrump and COVID-19 |pdf=|usr=}}{{33951083}} gab.com Text Social media and public perception as core aspect of public health: The cautionary case of @realdonaldtrump and COVID-19 JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33951083 #FOAvip The social media milieu in which we are enmeshed has substantive impacts on our beliefs and perceptions. Recent work has established that this can play a role in influencing understanding of, and reactions to, public health information. Twitter, in particular, appears to play a substantive role in the public health information ecosystem. From July 25th, 2020 to November 15th, 2020, we collected weekly tweets related to COVID19 keywords and assessed their networks, patterns and properties. Our analyses revealed the dominance of a handful of individual accounts as central structuring agents in the networks of tens of thousands of tweets and retweets, and thus millions of views, related to specific COVID19 keywords. These few individual accounts and the content of their tweets, mentions, and retweets are substantially overrepresented in terms of public exposure to, and thus interaction with, critical elements of public health information in the pandemic. Here we report on one particularly striking aspect of our dataset: the prominent position of @realdonaldtrump in Twitter networks related to four key terms of the COVID19 pandemic in 2020. Twit Text FOAVip Social media and public perception as core aspect of public health: The cautionary case of @realdonaldtrump and COVID-19 ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33951083 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33951083 #FOAvip English Wikipedia <ref>{{Cite pmid|33951083}}</ref> Social media and public perception as core aspect of public health: The cautionary case of @realdonaldtrump and COVID-19 #MMPMID33951083 Fuentes A; Peterson JV PLoS One 2021[]; 16 (5): e0251179 PMID33951083show ga The social media milieu in which we are enmeshed has substantive impacts on our beliefs and perceptions. Recent work has established that this can play a role in influencing understanding of, and reactions to, public health information. Twitter, in particular, appears to play a substantive role in the public health information ecosystem. From July 25th, 2020 to November 15th, 2020, we collected weekly tweets related to COVID19 keywords and assessed their networks, patterns and properties. Our analyses revealed the dominance of a handful of individual accounts as central structuring agents in the networks of tens of thousands of tweets and retweets, and thus millions of views, related to specific COVID19 keywords. These few individual accounts and the content of their tweets, mentions, and retweets are substantially overrepresented in terms of public exposure to, and thus interaction with, critical elements of public health information in the pandemic. Here we report on one particularly striking aspect of our dataset: the prominent position of @realdonaldtrump in Twitter networks related to four key terms of the COVID19 pandemic in 2020. |*Public Health[MESH] |*Public Opinion[MESH] |*Social Media[MESH] |COVID-19/epidemiology/*pathology/virology[MESH] |Humans[MESH] |SARS-CoV-2/isolation & purification[MESH]Social media and public perception as core aspect of public health: Th(epmc).pdf DeepDyve Pubget Overpricing