scholarly journals Does Culture Matter? A Comparative Study on the Motivations for Online Identity Reconstruction Between China and Malaysia

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092931
Author(s):  
Jiao Huang ◽  
Sameer Kumar ◽  
Chuan Hu

On social network platforms, people may reconstruct an identity due to various reasons, such as vanity, disinhibition, bridging social capital, and privacy concerns. This study aims to identify cultural differences in the motivations for online identity reconstruction between China and Malaysia. Data were collected from China and Malaysia using an online survey. A total of 815 respondents (418 Chinese and 397 Malaysians) participated in this study. Differences were found not only between Chinese and Malaysian participants but also among participants from different ethnic groups (e.g., the Malaysian-Malays and the Malaysian-Chinese). This study adds knowledge to the research concerning online identity reconstruction by taking into account national culture. It also extends the cross-cultural research concerning social network platforms and sheds light on the specific differences between Chinese and Malaysian participants. The findings of this study can help service providers to deploy specific strategies to better serve social network platform users from different countries.

2020 ◽  
Vol 6 (4) ◽  
pp. 205630512097837
Author(s):  
Giulia Ranzini ◽  
Gemma E. Newlands ◽  
Christoph Lutz

Parental sharing of child-related content on social network sites, termed “sharenting,” is often the target of criticism. Yet, through sharenting, parents can find support systems, a way to stay in touch with relevant others, and even an opportunity for additional income. This study contributes to knowledge on antecedents of sharenting. It explores the impact of parents’ privacy concerns on the sharing of child-related content, as well as on their general Instagram sharing. In this study, we differentiate between general and situational privacy. Moreover, we investigate whether parents’ privacy self-efficacy and the support of their peers influence parental sharing practices. Drawing on a rich body of literature on privacy and information sharing, we discuss the results of an online survey distributed among 320 Instagram users who are parents of children younger than 13 and reside in the United Kingdom. We find that parents’ privacy concerns are uncorrelated to sharenting and only situational concerns marginally correlate to parents’ general sharing. Parents’ reported privacy self-efficacy also did not play a role in parents’ sharing of either personal or children-related content. On the contrary, both Instagram sharing and having a network supportive of parental sharenting positively predict sharenting. Our results indicate that (a) neither situational nor general privacy concerns influence parents’ sharenting behavior, and (b) a parent’s supportive network and frequent sharing habits make frequent sharenting more likely.


Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.


2021 ◽  
Author(s):  
Natalia Gilewicz

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.


Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.


2016 ◽  
Vol 10 (2) ◽  
pp. 41-63 ◽  
Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.


2021 ◽  
Author(s):  
Natalia Gilewicz

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.


2016 ◽  
Author(s):  
Chang Suk Choi ◽  
Sang Jim Kim ◽  
Kyung Hoon Kim ◽  
Sang Cheol Jeong

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