舆论动员的数位运动:SNA对#Dirumahaja与#Pakaimasker的研究

Edy Prihantoro, Fajar Rizali Rakhman, Rizky Wulan Ramadhani
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引用次数: 9

摘要

本研究考察了Twitter上#PakaiMasker和#DirumahAja标签在塑造数字意见支持动员方面的作用,衡量了网络、标签之间的参与者和数字意见的比较的有效性。所使用的理论是通过观察参与者和系统的水平来观察意见的数字运动。本研究采用的方法是定量与定性相结合的方法。定量地,本研究从2000个tweet数据样本中查看通信网络:1000个tweet数据#PakaiMasker有259个演员,334和1000个tweet数据#DirumahAja有359个演员和283个关系,使用netlytic和gephi。与此同时,研究人员定性地分析了描述和解释社交网络的文本。结果显示,#DirumahAja比#PakaiMasker更能引起动员。#DirumahAja的成功归功于其广泛的网络系统,该系统能够在Covid-19大流行期间通过Twitter与参与者联系,让他们就卫生运动发表意见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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