Yum Seungil
Ph.D. Design, Construction, and Planning, University of Florida, Gainesville, USA.
Inf Technol Manag. 2023;24(2):147-157. doi: 10.1007/s10799-022-00360-0. Epub 2022 Apr 23.
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.
本研究通过对推特进行社会网络分析,按种族/族裔突出了新冠疫情的信息网络。首先,本研究发现不同种族/族裔群体对种族/族裔关键人物的依赖程度不同。白人和亚洲人拥有的种族/族裔关键人物数量最多,西班牙裔有一个种族/族裔关键人物,而黑人在前20名中没有种族/族裔关键人物。其次,不同种族/族裔群体在新冠疫情信息资源方面表现出不同特征。白人在新闻媒体、政治家和研究人员方面拥有的关键人物群体最多,黑人在新闻媒体方面拥有的关键人物群体最多。亚洲人在新闻媒体方面拥有的关键人物群体最多,而西班牙裔则以机构作为拥有的关键人物群体最多。最后,不同种族/族裔群体之间的群体交流存在一些差异。白人和黑人表现出开放的交流系统,而亚洲人和西班牙裔则显示出封闭的交流系统。因此,政府应根据种族/族裔了解新冠疫情的交流特征。