scholarly journals Living in digital space: Everyday life on Twitter

2021 ◽  
pp. 31-47
Author(s):  
Züleyha Özbaş-Anbarlı
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
New Media ◽  
Everyday Life ◽  
Life Time ◽  
Digital Networks ◽  
Daily Lives ◽  
Digital Space ◽  
Time Space ◽  
Production And Consumption

New media tools and the corresponding digital networks have begun to take part in the centre of our daily lives, thereby caused a practice of everyday life in digital space. In Twitter, a network in which users are involved through the machines, the concepts such as life, time, space, rhythm have developed. This study focuses on the constitution of everyday life in digital space. Twitter is a digital space that users do their everyday life practices in this network and are involved in through the machines. A sample of 10 Turkish users was selected with social network analysis to discover everyday life practices in this digital space. The content produced by this sample was observed employing digital ethnography and analysed by the sociology of everyday life. It is observed that Twitter creates its own rhythm. Observations show in Twitter that tactics have been produced, and strategies have been tried to be turned down with these tactics and acted rhythmic practices as forms of production and consumption in everyday life. People tend to follow similar others on Twitter, and accordingly, content is being produced for an imaginary community.

Aporeticity of Privacy in New Media Environment

2019 ◽  
pp. 1-21
Author(s):  
Marzena Barańska ◽  
Monika Ewelina Hapek
Keyword(s):  
Economic Policy ◽  
Social Network ◽  
New Media ◽  
Research Question ◽  
Media Environment ◽  
Digital Space ◽  
The World ◽  
Media Organizations

New media organizations provide their users with tools to manage access to the content and functionalities that are published in the digital space. However, such protection is only of apparent nature. For their users, corporations that operate in the new media environment create their own images as passive non-participants who hold some mythologized, auto-created competences to bring people together in the world without barriers. At the same time, focusing on the analysis of users' behavior, corporations are able to predict certain activities of their users. Considering such a context, a research question has been posed: who is more interested in new media users' privacy – users or new media organizations? In order to answer such a question and in accordance to the interpretative paradigm, an analysis of the economic policy of two new media organizations (Facebook social network, and Google corporation) is provided, including some tools they provide to their users. The study also presents the results of some previous research.

scholarly journals Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

2015 ◽  
Vol 16 (4) ◽  
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Rosseni Din ◽  
Mohamad Ally ◽  
Huseyin Dogan
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Participation ◽  
Future Research ◽  
Analysis Tool ◽  
Daily Lives ◽  
Social Media Platforms ◽  
Media Learning

<p class="BODYTEXT">Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance – making it a ubiquitous tool for social interaction. An emerging mode of learning is the mobile social media learning where social media is used in the mobile learning mode. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the study investigates roles of social participation in mobile social media learning using the “ladder of participation and mastering”. Participants were students taking an educational technology course in a local university. The study was conducted in a four-month period. Data was collected from discussions while learning among the students using one of the mobile social media platforms, Facebook groups. The data was analyzed using a social network analysis tool, NodeXL. Data was analyzed based on egocentric networks, betweeness centrality, and closeness centrality. The findings revealed that there are four roles of social participation in mobile social media, which are: (i) lurkers; (ii) gradually mastering members/passive members; (iii) recognized members; and (iv) coaches. The findings also indicated that over the course of four months, learners can inter-change roles of social participation – becoming more central or less central in learning discussions. As a result, a <em>roles of social participation</em> scale for mobile social media learning is proposed. Future research could be conducted in other fields to investigate whether mobile social media could be used to promote learning. </p>

scholarly journals New Media and Nationalism in Indonesia: An Analysis of Discursive Nationalism in Online News and Social Media after the 2019 Indonesian Presidential Election

2021 ◽  
Vol 37 (2) ◽  
pp. 289-304
Author(s):  
Didik Haryadi Santoso ◽  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
New Media ◽  
Presidential Election ◽  
Time Frame ◽  
Online News ◽  
Physical Interaction ◽  
High Level

Nationalism is an issue that is often contested in a political rally in various countries. Nationalism is generally used to describe two phenomena: first, the attitude of members of the nation when they care about their national identity. Second, it can be defined as any action performed by members of the nation to sustain their self-determination or political sovereignty. In the era of conventional media, nationalism was created from the dynamics of physical interaction, human to human. However, in the new media era, nationalism has turned into "human to technology to human". This leads to a dynamic that never happened before. To capture this, online news and social media data were captured using the SNA (Social Network Analysis) method, in collaboration with astramaya.id that saw 19 online news items listed. Data were also collected from Facebook (3,376 mentions), Instagram (3,417 mentions), Twitter (160,432 mentions), and YouTube (1,699 mentions). The time frame, July 2019 to July 2020, takes into account the high level of discussion on nationalism after the presidential election and Covid-19. This research found that: first, Indonesia’s Nationalism has divided into two caps; second, a non-human social media account gives a significant contribution to these cleavages; third, primordial sentiments take determining effect for every actor in generating cleavage. Keywords: Nationalism, online news, social media, social network analysis, Indonesia.

The niches of interpersonal media: Relationships in time and space

2011 ◽  
Vol 13 (8) ◽  
pp. 1265-1282 ◽  
Author(s):  
John Dimmick ◽  
John Christian Feaster ◽  
Artemio Ramirez
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Interpersonal Communication ◽  
Personal Relationships ◽  
Space Network ◽  
Time Space ◽  
The Media ◽  
Resource Space ◽  
Network Relationship

According to the theory of the niche, media must differentiate themselves along resource dimensions that allow for their survival to compete and coexist within a resource space. Within this study, contacts with personal relationships are framed as a key resource domain over which channels of interpersonal communication (interpersonal media) compete to occupy niches within the resource spaces of social networks. One hundred and forty-two college undergraduates completed a time/space diary for a randomly assigned weekday in which they recorded their contacts or ‘bundles’ with members of their personal social network. Analysis of the data shows that interpersonal media coexist because they are differentiated from each other in the contacts they allow with different relationships at different times and locations. Although evidence is found regarding heavy competition among the media under analysis, each is used in different time/space/network relationship contexts.

scholarly journals Visualizing YouTube’s comment space: online hostility as a networked phenomena

2018 ◽  
Vol 21 (1) ◽  
pp. 191-213 ◽  
Author(s):  
Dhiraj Murthy ◽  
Sanjay Sharma
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Production And Consumption ◽  
Qualitative Coding

This study examines YouTube’s comment space. By focusing on responses to the provocative musical group, Das Racist, we offer an innovative analysis of online racialized expression as a networked phenomenon. A blend of social network analysis, qualitative coding, and thick data descriptive methods are used to interpret comments posted on the five most viewed Das Racist videos. Given the dearth of literature exploring YouTube’s comment space, this study serves as a critical means to further understand race and the production and consumption of YouTube comments in everyday online encounters. We visualized networked antagonisms, which were found to be significantly racialized, and entangled with other expressions of hostility. YouTube comments are often perceived as individual, random insults or only generalized expressions of “hate.” Our study probes deeper and discovers that racialized expressions also involved networked interactions, where hostile ideas, passed through multiple parts of the comment network, both intra-/inter-video.

Research on Microblog Based on Analysis of Mapping Knowledge

2014 ◽  
Vol 687-691 ◽  
pp. 3048-3052 ◽  
Author(s):  
Yun Jiang Xi ◽  
Wei Chan Li ◽  
Xiao Liao
Keyword(s):  
Cluster Analysis ◽  
Public Opinion ◽  
Social Network ◽  
Network Analysis ◽  
New Media ◽  
Knowledge Mapping ◽  
Propagation Characteristics ◽  
Application Research ◽  
Opinion Analysis ◽  
Mapping Theory

This paper studieddomestic micro-blog areas, which adopted the cluster analysis; strategic coordinate analysis and co-word network analysis based on the knowledge mapping theory and methods with software tools SPSS19.0, Matlab, Ucinet6.0 and NetDraw. The study found that research of micro-blogareas can be divided into five knowledge groups: (1) propagation characteristics and application research of micro-blog; (2) marketing and social network analysis based on the micro-blog; (3) new media characteristics and application research of micro-blog; (4) microblogging public opinion analysis and its application research in colleges and universities and government affairs; (5) based on theEmergency communications and microblogging public opinion monitoring guide method research.

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