scholarly journals The Rise of K-Popper's Political Awareness in Twitter and What It Means for All of Us

2022 ◽  
Vol 19 (2) ◽  
pp. 253
Author(s):  
Dani Fadillah ◽  
Arif Ardy Wibowo ◽  
Nunik Hariyati ◽  
Uspal Jandevi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Political Movements ◽  
Political Awareness ◽  
Political Stance ◽  
The Subject

The Omnibus Law, which was passed on October 5, 2020, has discontented students and workers who protested on the streets. The ratification of the Omnibus Law has an effect on public opinion-raising activities, both those who support and who reject the ratification of the Omnibus Law, are crowded on Twitter social media. The active account of K-Poppers who took part became a line against the opinion of the Omnibus Law, so a question arises whether this is a phenomenon of the rise of political awareness of K-Poppers in Indonesia? This study analyzes the role of K-Poppers in socio-political movements in several countries globally, especially in Indonesia. The type of research used is a case study of the K-Poppers movement in the case of the ratification of the Omnibus Law as the subject in writing this paper. Collecting data using Social Network Analysis (SNA) and observing the activities of K-Poppers in Indonesia when parliament passed the controversial Omnibus Law. The results of this study indicate that Indonesian K-Poppers maximize their function as part of Indonesian citizens to express their political stance. They also showed their political involvement when creating hashtags, organizing other K-Pop crowds, and at the same time providing support to activists who rejected the Omnibus Law.

Tweeting #Ferguson: Mediatized fields and the new activist journalist

2017 ◽  
Vol 20 (7) ◽  
pp. 2252-2271 ◽  
Author(s):  
Stephen R Barnard
Keyword(s):  
Field Theory ◽  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Network Analysis ◽  
Mixed Methods Approach ◽  
Twitter Users ◽  
Journalistic Field

As a hybrid, journo-activist space, tweeting #Ferguson quickly emerged as a way for activists and journalists to network and spread information. Using a mixed-methods approach combining digital ethnographic content analysis with social network analysis and link analysis, this study examines journalistic and activist uses of Twitter to identify changes in field relations and practices. Employing the lenses of field theory and mediatization, this study finds parity and divergence in the themes, frames, format, and discourse of journalist and activist Twitter practices. While the traditions of objective journalism and affective activism persist, notable exceptions occurred, especially following acts of police suppression. The networked communities of professional and activist Twitter users were overlapping and interactive, suggesting hybridity at the margins of the journalistic field. Given the hybridizing of journalistic and journo-activist practices, this case study examines the role of social media in efforts to report on and bolster social change.

scholarly journals GERAKAN OPINI DIGITAL #TRUEBEAUTY PADA TWITTER UNTUK PEMERAN FILM ADAPTASI KOMIK WEBTOON

2020 ◽  
Vol 6 (1) ◽  
pp. 34
Author(s):  
Lady Joanne Tjahyana
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Analysis ◽  
Film Industry

Digital Movement of Opinion (DMO) using hashtag #TrueBeauty on Twitter was conducted by the fans of True Beauty as one of the most popular Webtoon’s comic. The fans gave their opinion about the perfect cast for the movie adaption of the comic. The objective of this research is to analyse the network that was formed by the DMO of #TrueBeauty. The method that had been used was social network analysis and the datasets mining was done using Netlytic. This research indicates that fans as the actors of the DMO were spreaded widely across the network and not centralized into certain dominant actors. The actors was divided into different clusters and every cluster has its own characteristics based on different locations and cultures. Therefore the role of influencers or dominant actors in every cluster is very important to deliver opinions with a style that suits every community. Moreover, text analysis found that film industry should pay attention to social media opinion, because many of the opinion were reflects the original desires of every fan without any intermediaton from any parties.

scholarly journals The Problem of Complexity in the Modern Migration: «Power in Networks» or «Power of Networks»

2016 ◽  
pp. 130-135
Author(s):  
V A Osipov
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Political System ◽  
Modern World ◽  
Specific Character ◽  
Illegal Migration ◽  
Political Processes

This article aims at the modern immigration problems through the concept of complexity. The paper includes the case study of social network analysis of illegal migration in Greece made and visualized in UCINET program v. 6.205 (Net-draw v. 2.097). The specific character of modern immigration reflects the number of problems and features of the modern world as well as political processes. Due to this the article touches upon crucial questions such as what is a place and role of a state in conditions of Instability and nonlinearity on supranational and domestic levels; are the mechanisms of political system able to maintain homeostatic balance and what is the role of the rapid and widespread network types of relations and structures; and others.

The dynamics of contacts and multilingual practices in the Chinese community in Britain

2021 ◽  
Author(s):  
Wei Li
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Language Maintenance ◽  
Language Shift ◽  
Chinese Community ◽  
Individual Variations ◽  
The Social

Abstract This article revisits the application of Social Network Analysis to the study of language maintenance and language shift in the Chinese community in Britain. An approach that focuses more on individual variations, including variable behaviours by the same speaker in different contexts, is proposed. The approach is illustrated with new data from Chinese-speaking families in London. The role of the social media in language maintenance and language shift, and in promoting multilingual practices is explored.

Politics of hashtags: Social network analysis of online contestation in the 2019 Indonesia presidential election

2021 ◽  
pp. 151-170
Author(s):  
Caroline Paskarina ◽  
Rina Hermawati Nuraeni
Keyword(s):  
Social Media ◽  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Presidential Election ◽  
Active Role ◽  
Public Issues ◽  
Strategic Role

This article uses social network analysis of online contestation on Twitter from September 2018 to April 2019 to reveal how netizens' engagement in election de-bates is polarized by the politics of hashtags. This study finds that hashtags are operated to construct dichotomist debate focusing on both presidential candi-dates' figure. This finding indicates: first, the weak position of citizens in deliberat-ing public issues; second, the ineffectiveness of social media, especially Twitter as an online forum for articulating public issues; and third, online influencers, who create and propagate hashtags, play a strategic role in deliberating public issues. Strengthening the role of social media needs to be combined with contemporary citizenship political strategies that can extend access for civil society and online influencers to play an active role in articulating public issues more argumentative-ly.

scholarly journals SOCIAL NETWORK ANALYSIS TECHNIQUES (SNA): an applied research method to investigate the role of the Canadian Ministry of Health in combating COVID-19

2021 ◽  
Vol 7 (3) ◽  
pp. a7en
Author(s):  
Rita de Cássia Romeiro Paulino
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Strategies ◽  
Collective Actions ◽  
Ministry Of Health ◽  
Leading Role ◽  
The Individual

In this study we present a proposal for digital methods using Social Network Analysis (ARS) techniques as a product that materializes in ways to investigate data from social networks. Through such methods, we research the potential of these techniques to investigate the topology of networks and the individual and collective actions of their actors. As an example, we adopted as a case study the Twitter profile of the Ministry of Health of Canada to examine actors and communication strategies in combating the pandemic. These actors played a leading role in distributing information against Covid-19. As a contribution, we identified that, through the methods adopted, it was possible to perceive a triangulation in the communication of government agents with their public, in addition to identifying communication strategies in combating the pandemic. 

ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER

2019 ◽  
Vol 24 (2) ◽  
pp. 88-104
Author(s):  
Ilham Aminudin ◽  
Dyah Anggraini
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Path Length ◽  
Average Path Length ◽  
Average Degree ◽  
Clustering Coefficient ◽  
R Programming

Banyak bisnis mulai muncul dengan melibatkan pengembangan teknologi internet. Salah satunya adalah bisnis di aplikasi berbasis penyedia layanan di bidang moda transportasi berbasis online yang ternyata dapat memberikan solusi dan menjawab berbagai kekhawatiran publik tentang layanan transportasi umum. Kemacetan lalu lintas di kota-kota besar dan ketegangan publik dengan keamanan transportasi umum diselesaikan dengan adanya aplikasi transportasi online seperti Grab dan Gojek yang memberikan kemudahan dan kenyamanan bagi penggunanya Penelitian ini dilakukan untuk menganalisa keaktifan percakapan brand jasa transportasi online di jejaring sosial Twitter berdasarkan properti jaringan. Penelitian dilakukan dengan dengan mengambil data dari percakapan pengguna di social media Twitter dengan cara crawling menggunakan Bahasa pemrograman R programming dan software R Studio dan pembuatan model jaringan dengan software Gephy. Setelah itu data dianalisis menggunakan metode social network analysis yang terdiri berdasarkan properti jaringan yaitu size, density, modularity, diameter, average degree, average path length, dan clustering coefficient dan nantinya hasil analisis akan dibandingkan dari setiap properti jaringan kedua brand jasa transportasi Online dan ditentukan strategi dalam meningkatkan dan mempertahankan keaktifan serta tingkat kehadiran brand jasa transportasi online, Grab dan Gojek.

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