الآثار الاجتماعية لاستخدام وسائل الإعلام الاجتماعي على بعض جوانب الشخصية الشابة = Social Interaction via Online Social Network Sites and Its Social Impact on University's Youth

2015 ◽  
Vol 32 (126) ◽  
pp. 77-122
Author(s):  
عبد الوهاب جودة الحايس
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Impact ◽  
Online Social Network ◽  
Social Network Sites

scholarly journals DIMENSIONALITY AND EFFECTS OF INFORMATION MOTIVATION ON USERS’ ONLINE SOCIAL NETWORK ADVERTISING ACCEPTANCE

2018 ◽  
Vol 58 (2) ◽  
pp. 174-187
Author(s):  
IMRAN ANWAR MIR
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Interaction ◽  
Information Seeking ◽  
Uses And Gratifications ◽  
Online Social Network ◽  
Social Network Sites ◽  
Multidimensional Model ◽  
Uses And Gratifications Theory ◽  
Marketing Literature

ABSTRACT Social media has produced substantial changes in the communication landscape. Online social network sites (SNS) grew as a common platform for online social interaction. SNS firms generate revenue from the advertising appearing on SNS. Their survival depends on users’ approval of such social network advertising (SNA). Marketing literature indicates that users accept advertising if it is consistent with their motivations for using social media. Information seeking is the most recognized SNS motivation. Yet, research on evaluating the influence of SNS information motivation on users’ approval of SNA is scarce. Based on SNS uses and gratifications theory, this study proposes a multidimensional model that shows the influence of SNS information motivation on users’ approval of SNA.

Facebooking Alone? Millennials’ Use of Social Network Sites and Volunteering

2019 ◽  
Vol 49 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Young-joo Lee
Keyword(s):  
Cohort Study ◽  
Social Network ◽  
Civic Engagement ◽  
Online Social Network ◽  
Social Network Sites ◽  
Positive Association ◽  
Prosocial Behaviors ◽  
Network Site ◽  
Facebook Use ◽  
Mixed Messages

The younger generation’s widespread use of online social network sites has raised concerns and debates about social network sites’ influence on this generation’s civic engagement, whether these sites undermine or promote prosocial behaviors. This study empirically examines how millennials’ social network site usage relates to volunteering, using the 2013 data of the Minnesota Adolescent Community Cohort Study. The findings reveal a positive association between a moderate level of Facebook use and volunteering, although heavy users are not more likely to volunteer than nonusers. This bell-shaped relationship between Facebook use and volunteering contrasts with the direct correlation between participation in off-line associational activities and volunteering. Overall, the findings suggest that it is natural to get mixed messages about social network sites’ impacts on civic engagement, and these platforms can be useful tools for getting the word out and recruiting episodic volunteers.

Educational and Social Benefits of Social Network Sites

2010 ◽  
pp. 15-36
Author(s):  
Christine Greenhow ◽  
Beth Robelia
Keyword(s):  
Social Network ◽  
Human Services ◽  
Online Social Network ◽  
Social Network Sites ◽  
Multimedia Networks ◽  
Educational Goals ◽  
Education Students ◽  
Self Reflection ◽  
Online Networks ◽  
Problem Solve

Online social network sites present opportunities for human service educators, practitioners, and clients. Human services education students can collaborate through multimedia networks, sharing ideas and experiences. Human services professionals can leverage online networks to problem solve, socialize and develop common resources, and clients can use such networks to engage in self-reflection and get support from those facing similar challenges. This chapter offers an introduction to online social network sites, summarizing their features, uses, demographics, and trends, and presents emerging research on their social and educational potential. An accompanying case study reveals how young adults might use online social network sites to further personal and educational goals. The chapter concludes with a discussion of how such sites might be employed by human services education students, practitioners and clients.

Characterization of Online Social Network

2019 ◽  
pp. 272-299 ◽  
Author(s):  
Paramita Dey
Keyword(s):  
Social Network ◽  
Community Detection ◽  
Online Social Network ◽  
Social Network Sites ◽  
Detection Algorithm ◽  
Centrality Measures ◽  
Large Network ◽  
Twitter Account ◽  
Community Detection Algorithm

The rapid growth of internet with large number of social network sites makes it easy to interconnect people from all over the world on a shared platform. Social network can be represented by a graph, where individual users are represented as nodes/vertices and connections between them are represented as edges of the graph. As social network inherits the properties of graph, its characterization includes centrality and community detection. In this chapter we discuss three centrality measures and its effects for information propagation. We discuss three popular hierarchical community detection measures and make a comparative analysis of them. Moreover we propose a new ego-based community detection algorithm which can be very efficient in terms of time complexity for very large network like online social network. In this chapter, a network is formed based on the data collected from Twitter account using hashtag(#).

Invisible Interactions

2011 ◽  
pp. 79-102 ◽  
Author(s):  
Miriam J. Metzger ◽  
Christo Wilson ◽  
Rebekah A. Pure ◽  
Ben Y. Zhao
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Sites ◽  
Deep Understanding ◽  
Electronic Surveillance ◽  
User Interactions ◽  
Traditional Research ◽  
Relational Behavior ◽  
Latent Interactions ◽  
A New Technique

A deep understanding of user social interaction in social network sites (SNSs) can provide important insights into questions of human social and relational behavior, as well as shape the design of new social platforms and applications. Recent studies have shown that a majority of user interactions on SNSs are latent interactions—passive actions such as profile browsing that cannot be observed directly by traditional research methods. This chapter presents a new technique to capture natural latent social interaction in Renren, the most popular SNS in China. As such, it offers a better understanding of both visible (e.g., comments and wall posts) and latent (e.g., passive profile browsing) user social interactions in SNSs than has been possible to date. We show that latent interactions are much more prevalent and frequent than visible interactions, are somewhat nonreciprocal in nature, and that visits by non-friends make up a significant portion of profile views. Our results augment earlier findings on such concepts as lurking and interpersonal electronic surveillance, and in some cases, shed new light on these phenomena.

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