Digital Movement of Opinion Mobilization
SNA Study on #Dirumahaja Vs. #Pakaimasker
Bibliographic Data
| ID | 21987972 |
|---|---|
| Authors | Edy Prihantoro (Gunadarma University), Fajar Rizali Rakhman (Gunadarma University), Rizky Wulan Ramadhani (Gunadarma University) |
| Year | 2021 |
| Volume | 6 |
| Issue | 1 |
| Pages | 77 |
| Publication date | 2021-01-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Jurnal ASPIKOM (JOURNAL) |
| Journal identifiers | ISSN: 2087-0442 • E-ISSN: 2548-8309 |
| Publisher | Jurnal ASPIKOM (PUBLISHER) |
| DOI | 10.24329/aspikom.v6i1.838 |
| OpenAlex | W3123825892 |
| Language | EN |
| Citations received | 1 |
| References cited | 5 |
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
Data science · Digital media · Mobilization · Opinion leadership · Political science · Politics · Public relations · Social media · Social mobilization · Social movement · Social network analysis · Sociology · Computer Science · Education, Sociology, Communication Studies · Islamic Finance and Communication · Law · Linguistics and Language Analysis
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |