Online Social Networks: Why We Disclose

2010 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Hanna Krasnova ◽  
Sarah Spiekermann ◽  
Ksenia Koroleva ◽  
Thomas Hildebrand
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Information Disclosure ◽  
Structural Equation ◽  
Personal Information ◽  
Equation Model ◽  
Self Disclosure ◽  
Network Provider ◽  
Privacy Calculus ◽  
Privacy Risks

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.

Privacy and Security for Virtual Communities and Social Networks

2013 ◽  
pp. 19-31 ◽  
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

scholarly journals A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 772 ◽  
Author(s):  
Nemec Zlatolas ◽  
Welzer ◽  
Hölbl ◽  
Heričko ◽  
Kamišalić
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Significant Relationships ◽  
Privacy Issues

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

scholarly journals Do privacy concerns determine online information disclosure? The case of internet addiction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nik Thompson ◽  
Atif Ahmad ◽  
Sean Maynard
Keyword(s):  
Internet Addiction ◽  
Information Disclosure ◽  
Structural Equation ◽  
Cost Benefit ◽  
Online Information ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus ◽  
The Impact

Purpose It is a widely held belief that users make a rational cost-benefit decision when choosing whether to disclose information online. Yet, in the privacy context, the evidence is far from conclusive suggesting that strong and as-yet unmeasured influences on behaviour may exist. This paper aims to demonstrate one such link – the effect of internet addiction on information disclosure. Design/methodology/approach Data from 216 Web users was collected regarding their perceptions on privacy and information disclosure intentions as well as avoidance behaviour, an element of internet addiction. Using a research model based on the Privacy Calculus theory, structural equation modelling was applied to quantify the determinants of online disclosure under various conditions. Findings The authors show that not all aspects of privacy (a multi-dimensional construct) influence information disclosure. While concerns about data collection influence self-disclosure behaviour, the level of awareness about privacy does not. They next examine the impact of internet addiction on these relationships, finding that internet addiction weakens the influence of privacy concerns to the point of non-significance. Originality/value The authors highlight some of the influences of self-disclosure behaviour, showing that some but not all aspects of privacy are influential. They also demonstrate that there are powerful influences on user behaviour that have not been accounted for in prior work; internet addiction is one of these factors. This provides some of the first evidence of the potentially deleterious effect of internet addiction on the privacy calculus.

Privacy and Security for Virtual Communities and Social Networks

2009 ◽  
Vol 1 (4) ◽  
pp. 21-32 ◽  
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

scholarly journals Antecedents of Self-Disclosure on Social Networking Sites (SNSs): A Study of Facebook Users

2021 ◽  
Vol 13 (3) ◽  
pp. 1220
Author(s):  
Ashraf Sharif ◽  
Saira Hanif Soroya ◽  
Shakil Ahmad ◽  
Khalid Mahmood
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Personal Information ◽  
Strong Predictor ◽  
Equation Model ◽  
Sem Analysis ◽  
Perceived Usefulness ◽  
Self Disclosure

Self-disclosure on social networking sites (SNSs) leads to social capital development, connectedness, and relationship building. Due to several benefits associated with this behavior, self-disclosure has become a subject of research over the last few years. The current study investigates the antecedents of self-disclosure under the lens of the technology acceptance model (TAM). The research is quantitative, and the data were collected from 400 Pakistani Facebook users with a variety of demographic characteristics. The partial least squares-structural equation model (PLS-SEM) analysis technique was employed to analyze the data. The study′s findings confirmed that perceived usefulness is a strong predictor of personal information sharing, and it along with other variables causes a 31% variation in self-disclosure behavior. However, trust (medium and social) mediates the relationshipof perceived usefulness, privacy concerns, and self-disclosure behavior.

Privacy and Security for Virtual Communities and Social Networks

2011 ◽  
pp. 1051-1062
Author(s):  
Georgios Michaelides ◽  
Gábor Hosszú
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Personal Information ◽  
Rapid Development ◽  
Virtual Community ◽  
Privacy And Security ◽  
Internet Privacy ◽  
Large Audience ◽  
Privacy Risks

The importance of the virtual communities’ privacy and security problems comes into prominence by the rapid development of online social networks. This article presents the multiple threats currently plaguing the virtual world, Internet privacy risks, and recommendations and countermeasures to avoid such problems. New generations of users feel comfortable publishing their personal information and narrating their lives. They are often unaware how vulnerable the data in their public profiles are, which a large audience daily accesses. A so-called digital friendship is built among them. Such commercial and social pressures have led to a number of privacy and security risks for social network members. The article presents the most important vulnerabilities and suggests protection methods and solutions that can be utilized according to the threat. Lastly, the authors introduce the concept of a privacy-friendly virtual community site, named CWIW, where privacy methods have been implemented for better user protection.

scholarly journals Self-Disclosure in Social Networking Sites in Saudi Arabia

2018 ◽  
Vol 13 (10) ◽  
pp. 96
Author(s):  
Basmah Emad ALQadheeb ◽  
Othman Ibraheem Alsalloum
Keyword(s):  
Saudi Arabia ◽  
Service Provider ◽  
Social Networking Sites ◽  
Information Disclosure ◽  
Online Survey ◽  
Service Providers ◽  
Personal Information ◽  
Self Disclosure ◽  
Self Presentation ◽  
Privacy Risks

Millions of people worldwide visit social network sites (SNSs) daily, such as Facebook, Twitter, and Snapchat. We examined a model based on the privacy calculus theory to better understand and determine what motivates users to disclose personal information on SNSs in Saudi Arabia. A total of 550 respondents participated in an online survey. The analysis results indicate that Saudi SNS users are primarily motivated by the convenience of maintaining and developing new relationships, self-presentation, and platform enjoyment. The results also indicate that privacy risks are a critical barrier to information disclosure. However, users become less concerned about privacy risks—and are thus more likely to disclose personal information—if they trust other SNS members and the service provider. Trust in the service provider increases if privacy control options are provided. In addition, the results show that gender influences the motivations to self-disclose personal information. Based on the analysis results, recommendations for service providers are provided.

Requirements for Personalized m-Commerce

2013 ◽  
Vol 11 (4) ◽  
pp. 19-36 ◽  
Author(s):  
Laura Becker ◽  
Key Pousttchi
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Subjective Norm ◽  
Equation Model ◽  
Perceived Usefulness ◽  
Men And Women ◽  
Perceived Enjoyment

Mobile devices are used to initiate shopping or enhance traditional shopping experiences. The integration of m-commerce with social networking sites enables marketers to provide really personalized offers to customers. The basis for that is an in-depth understanding of customers’ needs and expectations which can be analyzed on social networking sites due to their explicit and implicit presentation of the customers’ context and needs as well as due to their rising popularity. This study investigates the reasons for customers to use online social networks, using the example of Facebook. For that purpose, a structural equation model with formative constructs is developed and tested against data from young Facebook users. The authors’ results show that subjective norm might show no direct effect but, however, it has a large influence which occurs indirectly via perceived usefulness and perceived enjoyment. Additionally, the authors reveal that drivers for the usage intention of social networks show major differences between men and women.

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