Leo Vicentino, Janah Zerina T. Doroteo, Lyn Angel V. Garcia, Nicole Myem S. De Jesus
{"title":"“Sana All”:网民对政府应对新冠肺炎的看法","authors":"Leo Vicentino, Janah Zerina T. Doroteo, Lyn Angel V. Garcia, Nicole Myem S. De Jesus","doi":"10.5130/ccs.v14.i1.7961","DOIUrl":null,"url":null,"abstract":"Netizens posted views that contradicted the results released by research agencies about the Philippine government's responses to COVID-19. In this study, Twitter, which is a key communication channels, was the main source of data to explore the public’s perception of the Philippine government’s performance to the pandemic response. To limit tweets to be studied, sana all, a language phenomenon mostly used at the time of community lockdowns, was observed and utilized as a code identify relevant tweets. Between March and August 2020, 257 tweets were collected and researchers used presuppositions to extract socio-political context and truths implied in tweets. Then, the data underwent a 6-level thematic analysis and eleven categories were formed. The prevalent language intention emerging from the tweets is empathy. This paper will discuss how empathy associates the sound dissatisfaction of the netizens with the responses made by the current administration to combat the COVID-19 multi-effects.","PeriodicalId":43957,"journal":{"name":"Cosmopolitan Civil Societies-An Interdisciplinary Journal","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"“Sana All”: Netizens’ Perception of Government Responses to COVID-19\",\"authors\":\"Leo Vicentino, Janah Zerina T. Doroteo, Lyn Angel V. Garcia, Nicole Myem S. De Jesus\",\"doi\":\"10.5130/ccs.v14.i1.7961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Netizens posted views that contradicted the results released by research agencies about the Philippine government's responses to COVID-19. In this study, Twitter, which is a key communication channels, was the main source of data to explore the public’s perception of the Philippine government’s performance to the pandemic response. To limit tweets to be studied, sana all, a language phenomenon mostly used at the time of community lockdowns, was observed and utilized as a code identify relevant tweets. Between March and August 2020, 257 tweets were collected and researchers used presuppositions to extract socio-political context and truths implied in tweets. Then, the data underwent a 6-level thematic analysis and eleven categories were formed. The prevalent language intention emerging from the tweets is empathy. This paper will discuss how empathy associates the sound dissatisfaction of the netizens with the responses made by the current administration to combat the COVID-19 multi-effects.\",\"PeriodicalId\":43957,\"journal\":{\"name\":\"Cosmopolitan Civil Societies-An Interdisciplinary Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cosmopolitan Civil Societies-An Interdisciplinary Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5130/ccs.v14.i1.7961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SOCIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cosmopolitan Civil Societies-An Interdisciplinary Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5130/ccs.v14.i1.7961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIOLOGY","Score":null,"Total":0}
“Sana All”: Netizens’ Perception of Government Responses to COVID-19
Netizens posted views that contradicted the results released by research agencies about the Philippine government's responses to COVID-19. In this study, Twitter, which is a key communication channels, was the main source of data to explore the public’s perception of the Philippine government’s performance to the pandemic response. To limit tweets to be studied, sana all, a language phenomenon mostly used at the time of community lockdowns, was observed and utilized as a code identify relevant tweets. Between March and August 2020, 257 tweets were collected and researchers used presuppositions to extract socio-political context and truths implied in tweets. Then, the data underwent a 6-level thematic analysis and eleven categories were formed. The prevalent language intention emerging from the tweets is empathy. This paper will discuss how empathy associates the sound dissatisfaction of the netizens with the responses made by the current administration to combat the COVID-19 multi-effects.
期刊介绍:
Cosmopolitan Civil Societies: An Interdisciplinary Journal is concerned with developing a better understanding of social change and cultural cohesion in cosmopolitan societies. Its focus lies at the intersection of conflict and cohesion, and in how division can be transformed into dialogue, recognition and inclusion. The Journal takes a grounded approach to cosmopolitanism, linking it to civil society studies. It opens up debate about cosmopolitan engagement in civil societies, addressing a range of sites: social movements and collective action; migration, cultural diversity and responses to racism; the promotion of human rights and social justice; initiatives to strengthen civil societies; the impact of ‘information society’ and the context of environmental change.