Social Comparison Orientation and Cyberbullying Perpetration and Victimization: Roles of Envy on Social Networking Sites and Body Satisfaction

2021 ◽  
pp. 088626052110234
Author(s):  
Jingyu Geng ◽  
Yuhui Wang ◽  
Hongxia Wang ◽  
Pengcheng Wang ◽  
Li Lei
Keyword(s):  
Social Networking ◽  
Social Comparison ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Body Satisfaction ◽  
The Body ◽  
Equation Modeling ◽  
Satisfaction Scale ◽  
Slope Test ◽  
Social Comparison Orientation

Although some studies have explored the psychological and behavioral outcomes of social comparison orientation (SCO), few have explored the associations of SCO with cyberbullying perpetration and victimization. The current study aimed to investigate the associations of SCO with cyberbullying perpetration and victimization, and considered envy on social networking sites (SNS) as a mediator and body satisfaction as a moderator in these relations. To test our expectations, 941 adolescents aged between 10 and 16 years ( M = 13.15, SD = 1.18) completed multiple questionnaires, namely the Social Comparison Orientation Scale, the Revised Cyber Bullying Inventory, an envy scale revised for the SNS context, and the Body Areas Satisfaction Scale. Correlation analysis revealed that cyberbullying perpetration and cyberbullying victimization were significantly and positively correlated with SCO and envy on SNS, and significantly and negatively correlated with body satisfaction. The results of structural equation modeling (SEM) revealed that envy on SNS played a mediating role in the associations of SCO with cyberbullying perpetration and victimization. The results of SEM and simple slope test analysis indicated that body satisfaction weakened the direct association of SCO with envy on SNS and further weakened the indirect associations of SCO with cyberbullying perpetration and victimization via envy on SNS. Specifically, individuals with high levels of SCO were more likely to feel envious on SNS, and further tended to bully others and be bullied online when they were dissatisfied with their bodies. In other words, positive body satisfaction protected individuals with high levels of SCO from cyberbullying perpetration and victimization by decreasing their feelings of envy on SNS.

scholarly journals Understanding the Behavioral Consequences of Upward Social Comparison on Social Networking Sites: The Mediating Role of Emotions

2021 ◽  
Vol 13 (11) ◽  
pp. 5781
Author(s):  
Jaeyoung Park ◽  
Beomsoo Kim ◽  
Sunhee Park
Keyword(s):  
Social Networking ◽  
Social Comparison ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Behavioral Consequences ◽  
Underlying Mechanisms ◽  
Upward Social Comparison ◽  
The Impact

With the increase in upward social comparison occurring on social networking sites (SNSs) globally, SNS researchers have examined the impact of upward social comparison. However, they focused mainly on psychological outcomes (e.g., well-being). To extend the existing studies, this study investigates the behavioral consequences of upward social comparison through the underlying mechanisms of emotions. Drawing on Smith’s typology of social comparison-based emotions, we developed a conceptual model that integrates upward social comparison on Instagram, upward comparison emotions (upward contrastive emotions and upward assimilative emotions), and the behavioral responses (SNS discontinuance, posting of comments). A structural equation modeling analysis revealed that upward social comparison in Instagram usage provoked upward contrastive emotions including anger, depression, and envy, which, in turn, induced Instagram discontinuance and the posting of malicious comments on Instagram. Additionally, upward assimilative emotions including admiration, optimism, and inspiration triggered the posting of favorable comments on Instagram. This study enhances our understanding of SNS social comparison by revealing how upward social comparison on Instagram is related to behavioral consequences.

scholarly journals An Empirical Study of the Relationship Between Social Networking Sites and Students’ Engagement in Higher Education

2018 ◽  
Vol 57 (5) ◽  
pp. 1131-1159 ◽  
Author(s):  
Felix N. Koranteng ◽  
Isaac Wiafe ◽  
Eric Kuada
Keyword(s):  
Higher Education ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Social Capital Theory ◽  
Social Networking Site ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

This article investigates how students’ online social networking relationships affect knowledge sharing and how the intensity of knowledge sharing enhances students’ engagement. It adopts the social capital theory as the basis for investigation, and the partial least square structural equation modeling was used to examine the hypothesized model. Responses from 586 students in higher education were analyzed. The findings provided empirical evidence which contradicts the argument that students perceive social networking sites as an effective tool for learning. Also, contrary to previous studies which posit that knowledge sharing impacts engagement, it was observed that there is no relationship between the two. However, as social networking sites differ in terms of member behavior norms, it is envisaged that if a similar study is conducted and limited to a specific academically inclined social networking site such as Academia.edu, ResearchGate, Mendeley, and so on, different findings may be observed.

Adoption of mobile social networking sites for learning?

2015 ◽  
Vol 39 (6) ◽  
pp. 762-778 ◽  
Author(s):  
Choy-Har Wong ◽  
Garry Wei-Han Tan ◽  
Siew-Phaik Loke ◽  
Keng-Boon Ooi
Keyword(s):  
Social Networking ◽  
Learning Community ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Mobile Network ◽  
Research Area ◽  
Equation Modeling ◽  
Content Type ◽  
Mobile Social Networking ◽  
New Research

Purpose – The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal learning. Specifically, the study also investigates the association of mobility, reachability and convenience with performance expectancy (PE) and effort expectancy (EE). Design/methodology/approach – Partial least squares structural equation modeling (PLS-SEM) approach was applied to test on 266 valid responses. Findings – The findings indicated that learning compatibility (LC), PE, EE and copyright clearance (CC) has a significant effect on BI. The results also revealed that EE is influenced by mobility, reachability and convenience. PE however was found to be influenced by convenience. Practical implications – The results of this study provides valuable insights and references for practitioners and mobile network providers in developing mSNS in facilitating learning. Originality/value – While mSNS have the potential to become a new research area with numerous benefits for the learning community, there is little research on the adoption factors on mSNS in facilitating learning. This study therefore attempts to close the research gap by contributing to the mobile literatures.

scholarly journals An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites

2020 ◽  
Author(s):  
Vincenzo Corvello ◽  
Mariacristina Chimenti ◽  
Carlo Giglio ◽  
Saverino Verteramo
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Positive Impact ◽  
Work Practice ◽  
Social Networking Site ◽  
Equation Modeling ◽  
Academic Researchers ◽  
Use Of Knowledge ◽  
The Impact

Scientific social networking sites like Researchgate or Academia.edu have become part of the work practice of academic researchers. These digital platforms have been designed precisely to encourage the exchange of knowledge between scholars and to help the expansion of collaborative networks among them. Even if studies on this topic have multiplied in recent years, there is a dearth of research on the actual impact of these platforms on scientific production. The goal of this study is to investigate the relation between the attitude of researchers towards scientific social networks and the use of knowledge in their scientific work. Data from users of the scientific social networking site Researchgate were collected. A total of 143 valid responses were received and structural equation modeling was applied for data analysis. Findings of this study confirmed that researchers use knowledge obtained from scientific social networking sites both incorporating it within their research products and to acquire new competences. In particular approaching the platform as a scientific community with a shared language and a shared vision was found to have a positive impact on knowledge use. To the best knowledge of the authors this is the first study investigating the actual use of knowledge from scientific social networking sites by academic researchers. Results help to understand the impact of these platforms on the work practice of a strategic sector like scientific research.

scholarly journals Social network usage, shame, guilt and pride among high school students: Model testing

2016 ◽  
Vol 13 (1) ◽  
pp. 1926
Author(s):  
Uğur Doğan ◽  
Eyüp Çelik ◽  
Yahya Karakaş
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Equation Modeling ◽  
Fit Indices ◽  
School Students ◽  
Network Usage

This study was aimed at testing a model which applies structural equation modeling (SEM) to explain social networking sites (SNS) usage. Performing SEM with a sample of 500 high school students (40% male, 60% female), the model examined the relationships among shame, guilt and pride on SNS, such Facebook and Twitter. It was hypothesized that SNS usage was predicted directly by shame and indirectly by pride and guilt. The SEM showed that shame affected SNS usage directly and positively, while guilt and pride indirectly affected SNS via shame. The fit indices of SEM produced good fit values (χ2 = 0.11, df = 2, χ2/df = 0.055, p = 0.94532, RMSEA = 0.00, GFI = 1.00, AGFI = 1.00, NFI = 1.00, NNFI = 1.00, CFI = 1.00, IFI = 1.00, RMR = 0.039; SRMR = 0.0042). According to these results, high school students’ feelings of shame, guilt and pride are important predictors of SNS usage.

scholarly journals An Investigation of Factors Effecting Consumers’ Intention to Share Knowledge through Development as a Social Norm in Travel-Related Online Societal Networks

2020 ◽  
Vol 3 (1) ◽  
pp. 61-73
Author(s):  
Asad Ur Rehman ◽  
Moeed Ahmad Sandhu ◽  
Hina Ismail ◽  
Saba Mushtaq
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Social Norm ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Independent Variables ◽  
The People ◽  
Practical Implications ◽  
Share Information

For recommendations, customers are increasingly having faith in suggestions over the internet. Online societal/social networks (OSNs) are frequently used in Tourism and tourists use them to gain knowledge and gather information about different tourist’s resorts. The main objective of the current research is to develop understanding about the effect of different independent variables such as apparent Ease of use, Belief in reliability, Functional belief and Switching Cost to determine Social Norms which ultimately effect Intention to Share knowledge.  This model helps to understand the underlying motives that influence consumers to share information about tourist’s resorts with others. Data was collected from the people who were using social networking sites for more than a year for tourism recommendations. Structural equation modeling was used for the data analysis and it was found the most of the proposed hypothesis were accepted validating presence of a significantly valid relationship between the variables. The study carries considerable theoretical and practical implications for researchers as well as tourism managers.

Determinants of Using Social Networking Sites Toward Entrepreneurial Success: Experience from a Developing Nation

2020 ◽  
pp. 239490152097742
Author(s):  
Md. Abdul Momen ◽  
Shamsul Huq Bin Shahriar ◽  
Md. Kamrul Hassan ◽  
Seyama Sultana
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Business Environment ◽  
Equation Modeling ◽  
Developing Nation ◽  
Digital Era ◽  
Success Experience ◽  
Key Steps ◽  
Young Entrepreneurs

The study presents the determinants of the usage of social networking sites (SNSs) to accelerate the business potential of young entrepreneurs in a developing nation. It’s a quantitative study that considers 168 young entrepreneurs of Bangladesh. In analyzing the data, exploratory factor analysis has been used to justify the items associated with each variable while using a structural equation modeling approach to test the driven hypothesis. The study reveals that using social media as a promotional tool helps entrepreneurs to hasten their venture. In addition, changing purchasing behavior in this digital era and convenience and speed of Internet access also influence them to use SNSs intensively for growing their business enterprise. The findings of the study will help the key stakeholders to initiate key steps in order to create a more favorable business environment particularly for young entrepreneurs in this digital age of communication.

scholarly journals Examining Self-Disclosure on Social Networking Sites: A Flow Theory and Privacy Perspective

2018 ◽  
Author(s):  
Aseda Mensah ◽  
George Oppong Appiagyei Ampong ◽  
Adolph Sedem Yaw Adu ◽  
John Agyekum Addae ◽  
Osaretin Kayode Omoregie ◽  
...  
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Perceived Control ◽  
Structural Equation ◽  
Personal Information ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Self Disclosure

Social media and other web 2.0 tools have provided users the platform to interact and also disclose personal information not only with their friends and acquaintances, but also with relative strangers with unprecedented ease. This has enhanced the ability of people to share more about themselves, their families, and their friends through a variety of media including text, photo, and video, thus developing and sustaining social and business relationships. The purpose of the paper is to identify the factors that predict self-disclosure on social networking sites within the Ghanaian context. Data was collected from 452 students in three leading universities in Ghana and analyzed with Partial Least Square-Structural Equation Modeling. Results from the study revealed that all variables in the proposed model with the exception of interaction and perceived control were significant predictors of self-disclosure with privacy risk being the most significant predictor. In all, the model accounted for 54.6 percent of the variance in self disclosure. The implications and limitations of the current study are discussed and directions for future research proposed.

scholarly journals Link between social distancing, cognitive dissonance, and social networking site usage intensity: a country-level study during the COVID-19 outbreak

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tanusree Chakraborty ◽  
Anup Kumar ◽  
Parijat Upadhyay ◽  
Yogesh K. Dwivedi
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Cognitive Appraisal ◽  
Social Networking Site ◽  
Equation Modeling ◽  
Individual Response ◽  
Content Type ◽  
Social Distancing

PurposeSocial distancing is an important strategy to control the spread of the COVID-19 pandemic, so it is imperative to understand the behavioral impact of social distancing on individuals. This research studied social distancing from a cognitive appraisal of voluntary social distancing compliance (CAVSD) point of view and a non-medical perspective, specifically the psychological impact (PI) of social distancing on the usage intensity of social networking sites (SNS) during the COVID-19 outbreak in India.Design/methodology/approachThe study was conducted on 477 SNS users as a full sample and groups based on age, sex and work status. The model was empirically investigated using structural equation modeling.FindingsCAVSD was negatively associated with PI although it was not a significant predictor, while CAVSD and PI were significant predictors of SNS usage intensity; moreover, SNS usage intensity differed between groups of people.Practical implicationsThese findings are significant for organizations, corporations and educational institutions in both the public and private sectors. There is a need to identify subsections of individuals in need of social support and relief from isolation and loneliness. Individuals are relying on social media to handle social distancing and the pandemic, and this shows up in an increase in social networking activity.Originality/valueThis study contributes to the existing literature by positing social networking as a basic virtual need for socialization, and social media platform assists in that. Cognitive appraisal is an important determinant of individual response.

Explaining social networking sites’ use continuance from employees’ perspectives

2021 ◽  
Vol 23 (2) ◽  
pp. 171-198
Author(s):  
Bangaly Kaba
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Technology Use ◽  
Structural Equation ◽  
Equation Modeling ◽  
Normative Beliefs ◽  
Theoretical Frameworks ◽  
Content Type ◽  
Information And Communication ◽  
Practical Implications

PurposeThis paper aims to better comprehend the psychological elements that drive the adoption of social networking sites (SNS). The paper attempts to explain the reasons why people sustainably use social networking websites in the workplace and how this happens. Design/methodology/approachUsing a survey to collect data that was analyzed using structural equation modeling by applying the partial least squares technique. FindingsThe results indicated that SNS use continuance was due more to habit rather than established perceived and normative beliefs such as satisfaction and social norms. Research limitations/implicationsThe authors recommend that the model in the study be tested in other technology environments to evaluate the external validity of the research study. The research was based on an unspecific platform, but each SNS may have its singularity that should merit further consideration. Practical implicationsPeers or coworker influences were noticeable in shaping one’s normative beliefs to continue using SNS in the organization. In this regard, it will be interesting to identify the mechanisms that raise the awareness of SNS in the employees’ social networks in the organization. Specifically, it will be an advantage to reach out to peers in promoting SNS use in the organization because they speak the same language as their fellow employees. Originality/valueDespite several benefits related to SNS use in organizations, studies showed that most of these technologies are boycotted in the workplace. Although extensive studies are dedicated to understanding information and communication technology use continuance in general, this paper aims to inform both academicians interested in the use of enterprise SNS for business purposes and business actors concerned with growing SNS usage and retaining its users in their organizations. The paper will contribute to information systems continuance literature by integrating and extending two major theoretical frameworks.

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