Edy Prihantoro, Fajar Rizali Rakhman, Rizky Wulan Ramadhani
{"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}
引用次数: 9
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.