Edy Prihantoro, Fajar Rizali Rakhman, Rizky Wulan Ramadhani
{"title":"舆论动员的数位运动:SNA对#Dirumahaja与#Pakaimasker的研究","authors":"Edy Prihantoro, Fajar Rizali Rakhman, Rizky Wulan Ramadhani","doi":"10.24329/ASPIKOM.V6I1.838","DOIUrl":null,"url":null,"abstract":"This study examines the role of #PakaiMasker and #DirumahAja hashtags on Twitter on shaping the mobilization of digital opinion support, measuring the effectiveness of the comparison of a network, actors between hashtags, and digital opinions. The theory used was Digital Movement of Opinion by looking at the level of actors and systems. The method used in this research is a mixture combining quantitative and qualitative methods. Quantitatively, this research looks at the communication networks from the sample of 2,000 tweet data: 1000 tweet data #PakaiMasker with 259 actors and 334 and 1000 tweet data #DirumahAja with 359 actors and 283 relationships using netlytic and gephi. Meanwhile, qualitatively, the researchers analyzed text that described and explained social networks. The results showed #DirumahAja was more able creating mobilization compared to #PakaiMasker. The success of the #DirumahAja was due to its extensive network system that able to reach actors using Twitter in giving their opinions regarding health campaigns during Covid-19 pandemic.","PeriodicalId":31734,"journal":{"name":"Jurnal Aspikom","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Digital Movement of Opinion Mobilization: SNA Study on #Dirumahaja Vs. #Pakaimasker\",\"authors\":\"Edy Prihantoro, Fajar Rizali Rakhman, Rizky Wulan Ramadhani\",\"doi\":\"10.24329/ASPIKOM.V6I1.838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines the role of #PakaiMasker and #DirumahAja hashtags on Twitter on shaping the mobilization of digital opinion support, measuring the effectiveness of the comparison of a network, actors between hashtags, and digital opinions. The theory used was Digital Movement of Opinion by looking at the level of actors and systems. The method used in this research is a mixture combining quantitative and qualitative methods. Quantitatively, this research looks at the communication networks from the sample of 2,000 tweet data: 1000 tweet data #PakaiMasker with 259 actors and 334 and 1000 tweet data #DirumahAja with 359 actors and 283 relationships using netlytic and gephi. Meanwhile, qualitatively, the researchers analyzed text that described and explained social networks. The results showed #DirumahAja was more able creating mobilization compared to #PakaiMasker. The success of the #DirumahAja was due to its extensive network system that able to reach actors using Twitter in giving their opinions regarding health campaigns during Covid-19 pandemic.\",\"PeriodicalId\":31734,\"journal\":{\"name\":\"Jurnal Aspikom\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Aspikom\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24329/ASPIKOM.V6I1.838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Aspikom","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24329/ASPIKOM.V6I1.838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Movement of Opinion Mobilization: SNA Study on #Dirumahaja Vs. #Pakaimasker
This study examines the role of #PakaiMasker and #DirumahAja hashtags on Twitter on shaping the mobilization of digital opinion support, measuring the effectiveness of the comparison of a network, actors between hashtags, and digital opinions. The theory used was Digital Movement of Opinion by looking at the level of actors and systems. The method used in this research is a mixture combining quantitative and qualitative methods. Quantitatively, this research looks at the communication networks from the sample of 2,000 tweet data: 1000 tweet data #PakaiMasker with 259 actors and 334 and 1000 tweet data #DirumahAja with 359 actors and 283 relationships using netlytic and gephi. Meanwhile, qualitatively, the researchers analyzed text that described and explained social networks. The results showed #DirumahAja was more able creating mobilization compared to #PakaiMasker. The success of the #DirumahAja was due to its extensive network system that able to reach actors using Twitter in giving their opinions regarding health campaigns during Covid-19 pandemic.