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Information networks for COVID-19 according to race/ethnicity

This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and Asians show the highest number of racial/ethnic k...

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Detalles Bibliográficos
Autor principal: Yum, Seungil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034768/
https://www.ncbi.nlm.nih.gov/pubmed/37124836
http://dx.doi.org/10.1007/s10799-022-00360-0
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author Yum, Seungil
author_facet Yum, Seungil
author_sort Yum, Seungil
collection PubMed
description This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and Asians show the highest number of racial/ethnic key players, Hispanics have a racial/ethnic key player, and blacks have no racial/ethnic key player in the top 20. Second, racial/ethnic groups show different characteristics of information resources for COVID-19. Whites have the highest key player group in news media, politicians, and researchers, and blacks show the highest key player group in news media. Asians demonstrate the highest key player group in news media, and Hispanics exhibit institutes as the highest key player group. Lastly, there are some differences in group communications across the race/ethnicity. Whites and blacks show open communication systems, whereas Asians and Hispanics reveal closed communication systems. Therefore, governments should understand the characteristics of communications for COVID-19 according to the race/ethnicity.
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spelling pubmed-90347682022-04-25 Information networks for COVID-19 according to race/ethnicity Yum, Seungil Inf Technol Manag Article This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and Asians show the highest number of racial/ethnic key players, Hispanics have a racial/ethnic key player, and blacks have no racial/ethnic key player in the top 20. Second, racial/ethnic groups show different characteristics of information resources for COVID-19. Whites have the highest key player group in news media, politicians, and researchers, and blacks show the highest key player group in news media. Asians demonstrate the highest key player group in news media, and Hispanics exhibit institutes as the highest key player group. Lastly, there are some differences in group communications across the race/ethnicity. Whites and blacks show open communication systems, whereas Asians and Hispanics reveal closed communication systems. Therefore, governments should understand the characteristics of communications for COVID-19 according to the race/ethnicity. Springer US 2022-04-23 2023 /pmc/articles/PMC9034768/ /pubmed/37124836 http://dx.doi.org/10.1007/s10799-022-00360-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Yum, Seungil
Information networks for COVID-19 according to race/ethnicity
title Information networks for COVID-19 according to race/ethnicity
title_full Information networks for COVID-19 according to race/ethnicity
title_fullStr Information networks for COVID-19 according to race/ethnicity
title_full_unstemmed Information networks for COVID-19 according to race/ethnicity
title_short Information networks for COVID-19 according to race/ethnicity
title_sort information networks for covid-19 according to race/ethnicity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034768/
https://www.ncbi.nlm.nih.gov/pubmed/37124836
http://dx.doi.org/10.1007/s10799-022-00360-0
work_keys_str_mv AT yumseungil informationnetworksforcovid19accordingtoraceethnicity