{"title":"全球COVID-19大流行期间的推特网络:物理“社交距离”时期的在线网络","authors":"Shugofa Dastgeer, Rashmi Thapaliya","doi":"10.58997/smc.v37i2.108","DOIUrl":null,"url":null,"abstract":"This longitudinal study examined Twitter networks during the global COVID-19 pandemic in 2020 and 2021. Networks and content from of 87,793 users, 109,204 connections, and 1,655 unique tweets were explored in a multimethod approach of social network analysis and content analysis. The findings show that Twitter users focused on medical issues, politics, and blaming during the COVID-19 pandemic more than other topics and relied more on news and self-information than official sources.","PeriodicalId":243613,"journal":{"name":"Southwestern Mass Communication Journal","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Twitter Networks during the Global COVID-19 Pandemic: Online Networking at the Time of Physical “Social Distancing”\",\"authors\":\"Shugofa Dastgeer, Rashmi Thapaliya\",\"doi\":\"10.58997/smc.v37i2.108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This longitudinal study examined Twitter networks during the global COVID-19 pandemic in 2020 and 2021. Networks and content from of 87,793 users, 109,204 connections, and 1,655 unique tweets were explored in a multimethod approach of social network analysis and content analysis. The findings show that Twitter users focused on medical issues, politics, and blaming during the COVID-19 pandemic more than other topics and relied more on news and self-information than official sources.\",\"PeriodicalId\":243613,\"journal\":{\"name\":\"Southwestern Mass Communication Journal\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Southwestern Mass Communication Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58997/smc.v37i2.108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Southwestern Mass Communication Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58997/smc.v37i2.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Twitter Networks during the Global COVID-19 Pandemic: Online Networking at the Time of Physical “Social Distancing”
This longitudinal study examined Twitter networks during the global COVID-19 pandemic in 2020 and 2021. Networks and content from of 87,793 users, 109,204 connections, and 1,655 unique tweets were explored in a multimethod approach of social network analysis and content analysis. The findings show that Twitter users focused on medical issues, politics, and blaming during the COVID-19 pandemic more than other topics and relied more on news and self-information than official sources.
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