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10.3390/ijerph17165688 http://scihub22266oqcxt.onion/10.3390/ijerph17165688 32781727!7459752!32781727     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2020 ; 17 (16): ä Nephropedia Template TP {{tp|p=32781727|t=2020. Big Data Analysis of Media Reports Related to COVID-19 |pdf=|usr=}}{{32781727}} gab.com Text Big Data Analysis of Media Reports Related to COVID-19 JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32781727 #FOAvip COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government's countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government's response to the disease. Twit Text FOAVip Big Data Analysis of Media Reports Related to COVID-19 ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32781727 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32781727 #FOAvip English Wikipedia <ref>{{Cite pmid|32781727}}</ref> Big Data Analysis of Media Reports Related to COVID-19 #MMPMID32781727 Jung JH; Shin JI Int J Environ Res Public Health 2020[Aug]; 17 (16): ä PMID32781727show ga COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government's countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government's response to the disease. |*Big Data[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Communications Media/*statistics & numerical data[MESH] |Coronavirus Infections/*epidemiology[MESH] |Government[MESH] |Humans[MESH] |Mass Media/statistics & numerical data[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH]Big Data Analysis of Media Reports Related to COVID-19 (epmc).pdf DeepDyve Pubget Overpricing