Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.3390/ijerph17155414 http://scihub22266oqcxt.onion/10.3390/ijerph17155414 32731359!7432441!32731359     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32731359&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 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       Int+J+Environ+Res+Public+Health 2020 ; 17 (15): ä Nephropedia Template TP {{tp|p=32731359|t=2020. Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El Pais and El Mundo |pdf=|usr=}}{{32731359}} gab.com Text Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El Pais and El Mundo JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32731359 #FOAvip While COVID-19 is becoming one of the most severe public health crises in the twenty-first century, media coverage about this pandemic is getting more important than ever to make people informed. Drawing on data scraped from Twitter, this study aims to analyze and compare the news updates of two main Spanish newspapers El Pais and El Mundo during the pandemic. Throughout an automatic process of topic modeling and network analysis methods, this study identifies eight news frames for each newspaper's Twitter account. Furthermore, the whole pandemic development process is split into three periods-the pre-crisis period, the lockdown period and the recovery period. The networks of the computed frames are visualized by these three segments. This paper contributes to the understanding of how Spanish news media cover public health crises on social media platforms. Twit Text FOAVip Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El Pais and El Mundo ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32731359 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32731359 #FOAvip English Wikipedia <ref>{{Cite pmid|32731359}}</ref> Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El Pais and El Mundo #MMPMID32731359 Yu J; Lu Y; Munoz-Justicia J Int J Environ Res Public Health 2020[Jul]; 17 (15): ä PMID32731359show ga While COVID-19 is becoming one of the most severe public health crises in the twenty-first century, media coverage about this pandemic is getting more important than ever to make people informed. Drawing on data scraped from Twitter, this study aims to analyze and compare the news updates of two main Spanish newspapers El Pais and El Mundo during the pandemic. Throughout an automatic process of topic modeling and network analysis methods, this study identifies eight news frames for each newspaper's Twitter account. Furthermore, the whole pandemic development process is split into three periods-the pre-crisis period, the lockdown period and the recovery period. The networks of the computed frames are visualized by these three segments. This paper contributes to the understanding of how Spanish news media cover public health crises on social media platforms. |*Pandemics[MESH] |*Social Media[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/virology[MESH] |Humans[MESH] |Mass Media[MESH] |Pneumonia, Viral/*epidemiology/virology[MESH] |Public Health[MESH] |SARS-CoV-2[MESH]Analyzing Spanish News Frames on Twitter during COVID-19-A Network Stu(epmc).pdf DeepDyve Pubget Overpricing