Review of the Relationship between Social Networking Sites Use and Mental Health of Adolescents

2020 ◽  
Vol 09 (11) ◽  
pp. 1709-1715
Author(s):  
秀兰 季
2020 ◽  
Vol 39 (3) ◽  
pp. 195-213
Author(s):  
Xin-Xue Zhang ◽  
Detlef H. Rost ◽  
Jin-Liang Wang ◽  
Katherine J Reynolds

Introduction: The increasing popularity of social networking sites (SNS) has stimulated research on the relationship between SNS usage and users' mental health. The current study aims to shed light on the possible reciprocal relationship between type of SNS usage and subsequent mental health among Chinese college students. Method: A latent variable cross-lagged panel analysis (two waves) was conducted (N = 266). Results showed that negative emotions (loneliness, depression) at Time 1 (T1) was positively related to both active SNS usage and passive SNS usage at Time 2 (T2). However, neither active nor passive SNS usage at T1 was found to be associated with negative emotions at T2. Discussion: In this current research, the key finding is that type of usage did not impact on users' mental health. Future research might investigate the role of individual and social factors (e.g., self-esteem and life satisfaction) in moderating the relationship between SNS use and mental health.


Author(s):  
Irem Metin Orta ◽  
Müge Çelik Örücü

With the growing prevalence of wireless communication technologies, social networking sites (SNSs) such as Facebook, Twitter, etc. have become an important venues for interpersonal communication. This chapter provides a detailed overview of the current literature on online social networking with respect to its beneficial and detrimental effects on psychological wellbeing. In particular, it provides empirical evidence for the associations of SNS use with depression, self-esteem, loneliness, subjective wellbeing, social anxiety, attachment, personality traits, and addiction. Furthermore, it identifies the characteristics of individuals who are more prone to social networking, and presents possible mediators and moderators playing a role in the relationship between social networking and mental health. The chapter overall provides a comprehensive guideline to parents, researchers, educators, healthcare, and communication professionals to the issue of online social networking from a psychological perspective.


2018 ◽  
Vol 37 (5) ◽  
pp. 631-648 ◽  
Author(s):  
Xue-Qin Yin ◽  
Dian A. de Vries ◽  
Douglas A. Gentile ◽  
Jin-Liang Wang

The present meta-analysis reviews English-language studies from 2005 to 2016 to investigate the relationship between social networking sites (SNSs) usage and mental health and to explore whether cultural background, measurement of usage, gender and age influence this relationship. A total of 63 studies and 144 effect sizes (positive indicators of mental health k = 62, negative indicators of mental health k = 82) were analyzed. We found that (1) SNSs usage was positively correlated with both positive and negative indicators of mental health, and no significant difference between these two mean correlations was found; (2) age did not moderate the relationship between SNSs usage and mental health; (3) SNSs usage was positively related to positive indicators for measures of social network size, while general use was positively related to negative indicators; (4) stronger correlations were found between SNSs usage and positive indicators of mental health in collectivist cultures than in individualistic cultures; (5) as percentage of female participants increased, a stronger relationship between social network sites and negative indicators of mental health was observed. This meta-analysis allows for integration of conclusions of past studies and establishes a clearer understanding of the relations between SNSs usage and mental health, including recognizing that complex factors (such as cultural background and gender) moderate these relations.


2017 ◽  
Vol 3 (2) ◽  
pp. 205630511770440 ◽  
Author(s):  
Sara Santarossa ◽  
Sarah J. Woodruff

The aim of this study was to investigate whether problematic social networking site (SNS) use (i.e., degree of dependent relationship with SNSs), total SNS time/day, total SNS friends, and specific SNS activities were related to body image (BI), self-esteem (SE), and eating disorder (ED) symptoms/concerns. A sample of young adults ( N = 147) completed an online survey which measured SNS usage, problematic SNS use, BI, SE, and ED symptom/concerns. The findings revealed that females and males spent 4.1 ± 3.9 and 2.9 ± 2.8 hr on SNS, respectively, with the majority of time spent lurking (i.e., looking at another users’ profile but not actually communicating with them). Furthermore, problematic SNS use was found to be related to BI, SE, and ED symptoms/concerns. Moreover, SNS activities, such as lurking and posting comments on others’ profiles, were found to be related to BI, whereas SNS total time was found to be related to ED symptoms/concerns. Overall, this study demonstrates the possible correlational influence of SNSs on BI, SE, and ED symptoms/concerns.


2018 ◽  
Vol 14 (7) ◽  
pp. 324
Author(s):  
Beatrice Adanna Achilike ◽  
Chibueze Utum Mgboro ◽  
Agbasiere, Emmanuel Patrick

Social Networking Sites are a type of virtual community which enables many people to interact and share ideas or interests. Social networking is rapidly changing the way the world is doing virtually everything, from the way people access information to the way people communicate and most importantly, the way they interact. This study investigated the relationship between Social Networking Sites and Observational Learning of Senior Secondary School students in Mbaitoli Local Government Area, Imo State, Nigeria. Four research questions with the corresponding hypotheses were generated. The objectives of the study centered on investigating the relationship between four social networking sites namely: Facebook, Instagram, Twitter and YouTube to observational learning. The correlational study design was adopted for the study. Simple random sampling was used to draw a sample of 560 students from the population of the study. The selfdesigned instrument was of two parts: A and B. Pearson Product Moment Correlation was used to answer the research questions while the hypotheses were subjected to critical probability level of 0.05 alpha levels. Findings to this study revealed that there is a significant positive relationship between social networking sites and observational learning; some of which include enhancement of informative endowment as in the case of Facebook, live-video functionality to stories in the case of Instagram and acquisition of vocational skills from YouTube. The paper at the end recommended that more encouragement should be given to students to enable them benefit adequately and positively from the gains of social networking channels vis-a-vis observational learning.


2020 ◽  
Vol 34 (1) ◽  
pp. 47-55
Author(s):  
Mohammad Badruzzaman BHUIYAN ◽  
◽  
Md. Aminul ISLAM ◽  
Md. Ziaul HAQUE ◽  
Chhanda BISWAS ◽  
...  

More recently social networking sites (SNSs) users are extensively using the emerging geotagging technology for tourism motivation. The study aims to examine the relationship between determinants of geotagging technology and intention to adopt geotag technology as well as the extent to which technology readiness moderates the link between determinants of geotagging technology and intention to adopt geotag technology. Data were collected from a sample of 356 university students by using convenience sampling technique. Partial least square structural equation modelling has been used to measure the results. The empirical outcome uncovers that social influence, performance expectancy and facilitating condition are the factor that have direct impact on SNSs user’s willingness to adopt geotag for smart tourism experience. The present paper enriches UTAUT model by understanding the association between two variables namely effort expectancy and performance expectancy as well as the moderating role of the technology readiness. The findings of the study will assist to SNSs service providers by understanding the moderating role of technology readiness in the relationship between determinants of geotagging technology and intention to adopt geotag technology.


2016 ◽  
pp. 97-113
Author(s):  
Michelle F. Wright

Children and adolescents have become active users of electronic technologies, with many of them blogging, watching videos, and chatting via instant messenger and social networking sites. Many of these activities have become a typical part of their lives. Electronic technologies have brought many conveniences to the lives of children and adolescents. Along with the opportunities associated with these technologies, children and adolescents are also susceptible to risks, including cyberbullying. Therefore, many researchers have become concerned with identifying which factors might predict children's and adolescents' involvement in these behaviors. Some predictors that researchers have focused on include age, gender, and ethnicity, but the findings were mixed. This chapter draws on research to review studies on the relationship of age, gender, and ethnicity to children's and adolescents' cyberbullying involvement and concludes with solutions and recommendations as well as future directions for research focused on these predictors and cyberbullying.


Author(s):  
Melanie Keep ◽  
Anna Janssen ◽  
Krestina Amon

Sharing images online, particularly through social networking sites (SNSs), is a widespread activity. The popularity of image sharing on SNSs has provided researchers with a unique opportunity for investigating how and why we communicate with each other via images. This chapter discusses research about photo sharing on three popular SNSs: Facebook, Instagram, and Snapchat. The unique affordances of each platform have resulted in differences in the images people share on them, and why people choose to share or view different images across the different SNSs. Personal characteristics also shape how and why we share images online. The chapter, therefore, also considers the role of age, gender, and personality on image sharing behaviors and preferences. Finally, the chapter outlines our current understanding of the interrelationship between image sharing and mental health. This chapter thus considers: Who shares images on social media? What do they share? Why do they share these images? What are the mental health consequences of image sharing on SNSs?


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