scholarly journals Privacy concerns can stress you out: Investigating the reciprocal relationship between mobile social media privacy concerns and perceived stress

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Anja Stevic ◽  
Desirée Schmuck ◽  
Anna Koemets ◽  
Melanie Hirsch ◽  
Kathrin Karsay ◽  
...  
Keyword(s):  
Social Media ◽  
Perceived Stress ◽  
Empirical Investigation ◽  
Personal Information ◽  
Panel Study ◽  
Reciprocal Relationship ◽  
Professional Life ◽  
Privacy Concerns ◽  
Privacy Calculus ◽  
Privacy Risks

Abstract Mobile social media have become a widespread means to participate in everyday social and professional life. These platforms encourage the disclosure and exchange of personal information, which comes with privacy risks. While past scholarship has listed various predictors and consequences of online privacy concerns, there has been to date no empirical investigation of a conceivable relationship with perceived stress. Using a longitudinal panel study, we examined the reciprocal relationship between mobile social media privacy concerns and perceived stress. Results supported the hypothesis that mobile social media privacy concerns at T1 are associated with higher perceived stress at T2. However, we found no evidence for the reverse association, that is, perceived stress at T1 was not related to mobile social media privacy concerns at T2. The findings are discussed based on two models—the “Antecedents privacy concerns outcomes” model and the “Privacy calculus” model.

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.

scholarly journals Legal frameworks governing social data analytics and privacy concerns among social media users

2019 ◽  
Author(s):  
◽  
Youssef Ramzi Mansour
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Personal Information ◽  
The Internet ◽  
Social Data ◽  
Privacy Concerns ◽  
New Era ◽  
Statistical Studies ◽  
Legal Frameworks ◽  
Support Decision Making

Big data is a relatively new concept that refers to the enormous amount of data generated in a new era where people are selling, buying, paying dues, managing their health and communicating over the internet. It becomes natural that generated data will be analyzed for the purposes of smart advertising and social statistical studies. Social data analytics is the concept of micro-studying users interactions through data obtained often from social networking services, the concept also known as “social mining” offers tremendous opportunities to support decision making through recommendation systems widely used by e-commerce mainly. With these new opportunities comes the problematic of social media users privacy concerns as protecting personal information over the internet has become a controversial issue among social network providers and users. In this study we identify and describe various privacy concerns and related platforms as well as the legal frameworks governing the protection of personal information in different jurisdictions. Furthermore we discuss the Facebook and Cambridge Analytica Ltd incident as an example.

Prior Negative Experience, Online Privacy Concerns and Intent to Disclose Personal Information in Chinese Social Media

2015 ◽  
pp. 1053-1075
Author(s):  
Hongwei “Chris” Yang
Keyword(s):  
Social Media ◽  
Perceived Risk ◽  
Personal Information ◽  
Online Privacy ◽  
Online Information ◽  
Sensitive Information ◽  
Negative Experience ◽  
Self Disclosure ◽  
Chinese College Students ◽  
Privacy Concerns

A paper survey of 489 Chinese college students was conducted in spring, 2012 to test a conceptual model of online information disclosure in social media. It shows that young Chinese SNS users' prior negative experience of online disclosure significantly increased their online privacy concerns and their perceived risk. Their online privacy concerns undermined their trust of online companies, marketers and laws to protect privacy and elevated their perceived risk. Their trust strongly predicted their intent to disclose the lifestyle and sensitive information. Their online privacy concerns only inhibited them from disclosing sensitive information in social media. However, their prior negative experience did not directly predict their intent of self-disclosure on SNS. Implications for academia and industry are discussed.

“Hey, Look at My Body!”

2014 ◽  
Vol 4 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Lik Sam Chan ◽  
Hing Weng Eric Tsang
Keyword(s):  
Social Media ◽  
Body Image ◽  
Young Adults ◽  
Hong Kong ◽  
Social Networking ◽  
Social Networking Sites ◽  
Body Image Satisfaction ◽  
Privacy Concerns ◽  
Privacy Risks ◽  
The Relationship

This article considers the phenomenon of online body display by users of social networking sites in Hong Kong. A survey of 392 young adults was conducted to investigate the relationships between narcissism, grandiose exhibitionism, body image satisfaction, perceived privacy risks, and online body display. A Body Display Index was developed to measure the perceived level of sexual explicitness of photographs shared by Facebook users. Grandiose exhibitionism, a sub-trait of narcissism, was found to be a stronger predictor of online body display than narcissism. The relationship between body image satisfaction and online body display was not significant, and no relationship was found between such displays and perceived privacy risks, thus implying a lack of social media-related privacy concerns among the respondents.

scholarly journals Privacy in mobile learning applications: user privacy concerns and implications of applying privacy by design approach

2021 ◽  
Author(s):  
Daria Ilkina
Keyword(s):  
Mobile Learning ◽  
Personal Information ◽  
Third Parties ◽  
Design Approach ◽  
Privacy By Design ◽  
User Privacy ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
The Government ◽  
Privacy Risks

This thesis investigates the privacy risks that m-learning app users face by identifying the personal information that m-learning apps collect from their users, and the privacy policies of these apps. It reveals that most of the m-learning applications have similar privacy policies, which seem to protect the interest of the providers rather than the users. The Privacy by Design framework is reviewed to determine whether it can help the developers address user privacy practices. The results from the sample of 260 participants suggest that users are less concerned with the collection of personal information that is non-identifiable. The survey also revealed that the users are more concerned when an app shares their personal information with third parties for commercial purposes than when it is shared with the government.

“Hey, Look at My Body!”

2019 ◽  
pp. 302-319
Author(s):  
Lik Sam Chan ◽  
Hing Weng Eric Tsang
Keyword(s):  
Social Media ◽  
Body Image ◽  
Young Adults ◽  
Hong Kong ◽  
Social Networking ◽  
Social Networking Sites ◽  
Body Image Satisfaction ◽  
Privacy Concerns ◽  
Privacy Risks ◽  
The Relationship

This article considers the phenomenon of online body display by users of social networking sites in Hong Kong. A survey of 392 young adults was conducted to investigate the relationships between narcissism, grandiose exhibitionism, body image satisfaction, perceived privacy risks, and online body display. A Body Display Index was developed to measure the perceived level of sexual explicitness of photographs shared by Facebook users. Grandiose exhibitionism, a sub-trait of narcissism, was found to be a stronger predictor of online body display than narcissism. The relationship between body image satisfaction and online body display was not significant, and no relationship was found between such displays and perceived privacy risks, thus implying a lack of social media-related privacy concerns among the respondents.

scholarly journals The Privacy Calculus of “Friending” Across Multiple Social Media Platforms

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512092847
Author(s):  
Yu-Hao Lee ◽  
Chien Wen Yuan
Keyword(s):  
Online Survey ◽  
Relationship Building ◽  
Privacy Management ◽  
Communication Privacy Management ◽  
Privacy Concerns ◽  
Communication Privacy Management Theory ◽  
Social Media Platforms ◽  
Privacy Calculus ◽  
Potential Benefits ◽  
Privacy Risks

Relationship building through social network sites (SNSs) requires privacy disclosure that involves a calculus of potential benefits against privacy risks. Tie formation (e.g., friending, following, or connecting) on SNSs is one of the most significant forms of privacy disclosure that not only communicate one’s willingness to disclose but can also reveal past activity history and invite future interactions. Based on the communication privacy management theory, the current study examines how users consider the privacy calculus and tie-formation affordances of the SNSs to manage ties across multiple SNSs. Using an online survey of 630 Facebook and/or Instagram users, the study revealed that individuals with higher privacy concerns strategically manage their privacy by connecting with different relationship ties through different SNSs as a way to construct sociotechnical boundaries between networks. The findings have implications for understanding privacy management online and provide a potential explanation for the privacy paradox.

scholarly journals Understanding the Key Antecedents of Users’ Disclosing Behaviors on Social Networking Sites: The Privacy Paradox

2020 ◽  
Vol 12 (12) ◽  
pp. 5163
Author(s):  
Byoungsoo Kim ◽  
Daekil Kim
Keyword(s):  
Social Networking Sites ◽  
Perceived Control ◽  
Personal Information ◽  
Theoretical Framework ◽  
Subjective Norms ◽  
Formation Mechanisms ◽  
Privacy Concerns ◽  
Research And Practice ◽  
Privacy Calculus ◽  
Privacy Paradox

This study explored the formation mechanisms of users’ disclosing behaviors from the perspectives of the privacy paradox. The theoretical framework incorporates perceived control over personal information and subjective norms into the privacy calculus model. The proposed theoretical framework was empirically tested using survey data collected from 350 Facebook users. The findings show that users’ intention to disclose personal information has a marginally significant effect on users’ disclosing behaviors. The analysis results reveal that privacy concerns negatively affect the intention to disclose personal information while they are not significantly related to users’ disclosing behaviors. This study found that perceived control over personal information plays a significant role in enhancing trust in social network site (SNS) providers, users’ intention to disclose personal information, and users’ disclosing behaviors. Moreover, perceived control over personal information mitigates the level of privacy concerns. Several implications for research and practice are described.

scholarly journals VERTICAL OR HORIZONTAL? AN EMPIRICAL INVESTIGATION OF THE ROLE OF PRIVACY LITERACY AND PRIVACY SELF-EFFICACY ON THE DIMENSIONALITY OF PRIVACY

2021 ◽  
Author(s):  
Dmitry Epstein ◽  
Kelly Quinn
Keyword(s):  
Social Media ◽  
Self Efficacy ◽  
Representative Sample ◽  
Empirical Investigation ◽  
Privacy Concern ◽  
Privacy Concerns ◽  
Explanatory Factors ◽  
Privacy Behaviors ◽  
Different Levels

The goals of this study are two-fold. We extend established models linking attitudes related to privacy concerns and privacy protecting behavior (PPB) by (a) differentiating between horizontal (social) and vertical (institutional) orientations of PPB as capturing an aspect of privacy multidimensionality, and (b) introducing additional explanatory factors such as privacy literacy and privacy self-efficacy into the modeling of PPB. We survey a representative sample of 686 US social media users to test relationships between privacy concern, trust, privacy self-efficacy, privacy literacy, and vertical and horizontal PPB. We find privacy concerns contribute to horizontal and vertical PPB at different levels, reinforcing the dimensionality of privacy. We also find that privacy literacy and privacy self-efficacy are important factors in explaining dimensional privacy behaviors and moderate the established relationships between privacy concerns and PPB.

scholarly journals Social media privacy concerns and risk beliefs

2019 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Johnathan Yerby ◽  
Alex Koohang ◽  
Joanna Paliszkiewicz
Keyword(s):  
United States ◽  
Social Media ◽  
Social Networking ◽  
Personal Information ◽  
Southeastern United States ◽  
Social Networking Site ◽  
Future Research ◽  
Privacy Concerns ◽  
Risk Beliefs ◽  
The Social

The purpose of this study was to investigate the link between users’ risk beliefs and social media privacy concerns (concerns users express regarding social media sites’ practices as to how they collect and use personal information). A Likert-type instrument with seven constructs, six of which described the social media privacy concerns and the seventh construct defined users’ risk beliefs, was used to collect data from students who were studying at a university in the southeastern United States. All students (N = 138) used Facebook as their major social networking site. Collected data were analyzed via multiple regression analysis. The results indicated that subjects’ risk beliefs are influenced by three social media privacy concerns (i.e., collection, error, and awareness). The Findings and their implications are discussed. Recommendations for future research are made.

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