The privacy box: A software proposal

First Monday ◽  
2009 ◽  
Author(s):  
Woodrow Hartzog
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Private Information ◽  
Personal Information ◽  
Social Network Sites ◽  
Self Disclosure ◽  
Safe Place

The contradiction of social networks is that revealing of personal, private information can have harmful consequences, yet users continue to disclose such information at an alarming rate. Ironically, the advent of social network sites opens the possibility of a relatively safe place to disclose private information. This article proposes a “privacy box” application to be used within social network sites that would require users to accept a pre–written promise of confidentiality before gaining access to personal information. Although it would not serve as a universal remedy for privacy harms on social network sites, it could serve to carve out a space for relatively safe self–disclosure online.

The influence of personality traits and social networks on the self-disclosure behavior of social network site users

2016 ◽  
Vol 26 (3) ◽  
pp. 566-586 ◽  
Author(s):  
Xi Chen ◽  
Yin Pan ◽  
Bin Guo
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Personality Traits ◽  
Personal Information ◽  
The Self ◽  
Social Network Site ◽  
Self Disclosure ◽  
Content Type ◽  
Network Site

Purpose – The purpose of this paper is to determine the influence and interaction of social networks and personality traits on the self-disclosure behavior of social network site (SNS) users. According to social capital theory and the Big Five personality model, the authors hypothesized that social capital factors would affect the accuracy and amount of self-disclosure behavior and that personality traits would moderate this effect. Design/methodology/approach – A survey was conducted to collect data from 207 SNS users. The questionnaire was administered in university classrooms and libraries and via e-mail. The measurement model and structural model were examined by using LISREL 8.8 and SmartPLS 2.0. Findings – Based on the path analysis, the authors identified several interesting patterns to explain self-disclosure behavior on SNSs. First, the centrality of SNS users has a positive effect on their amount of self-disclosure. Moreover, people who are more extroverted disclose personal information that is more accurate with the level of the cognitive dimension held constant and disclose a greater amount of personal information with the level of the structural dimension held constant. From a practical perspective, the results may provide useful insight for companies operating SNSs. Originality/value – This study analyzed the influence of social capital factors on SNS users’ self-disclosure, as well as the interactions between personality and social capital factors. Specifically, the authors examined six important variables of social capital divided into three dimensions. This research complements current research on SNSs by focusing on SNS users’ motivation to disclose self-related information in addition to information sharing.

Self-Disclosure Patterns among Chinese Users in SNS and Face-to-Face Communication

2015 ◽  
Vol 5 (1) ◽  
pp. 55-69 ◽  
Author(s):  
Yashu Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Qualitative Analysis ◽  
Online Social Networks ◽  
Exploratory Study ◽  
Social Network Sites ◽  
Self Disclosure ◽  
Face To Face ◽  
Study Participants ◽  
Disclosure Patterns

This exploratory study focused on Chinese social network sites (SNS) users to determine whether their online self-disclosure differed from offline and whether culture had an impact on the patterns of their self-disclosure. Sixteen active users of Chinese online social networks were interviewed about their self-disclosing experiences. Results of a qualitative analysis suggest that culture was likely to impact the behavior of study participants by modifying the patterns of self-disclosure. Participants tended to disclose themselves indirectly on SNS, strived to make positive impressions, and revealed few intimate issues. In face-to-face communication, the relationships between disclosers and target persons as well as the target persons' status and background influenced the contents of self-disclosure.

scholarly journals The ‘Privacy Paradox’ Investigation among the African American College Students: Privacy Concerns and Self-Disclosure on the Social Network Sites

2016 ◽  
Vol 4 (3) ◽  
pp. 619
Author(s):  
Yanjun Yu
Keyword(s):  
African American ◽  
Social Network ◽  
College Student ◽  
Personal Information ◽  
Social Network Sites ◽  
African American College Students ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Privacy Paradox

<div><p><em>This article examines the current status of privacy risk concern on Social Network Sites (SNS) among African American college students in a HBCU college in the United States. It also investigates the gender difference on this issue. The research focuses on the ‘privacy paradox’ phenomenon on SNS, in other words, how SNS users’ privacy risk concern associates with their self-disclosure activity. The research findings are interesting and confirm the ‘privacy paradox’ phenomenon among the less studied African American college student community. The results show although the participants of the study fear something unpleasant can happen to them due to their presence on SNS and realize it is risky to publish their personal information on SNS, they still do some self-disclosure activities such as post photos and status. When they see the threat to their privacy due to their presence on SNS, they still post their status and videos on SNS. When they feel unsafe to publish their personal information on SNS, they still post photos and videos on SNS. Gender only significantly affect the post photo self-disclosure activity on SNS. The research contributes to the academia by investigating privacy concerns on the rarely studied minority community i.e., African American college student body. The study can provide tips for the privacy policy practitioners when they make or modify their privacy policies. </em></p></div>

Relationship 2.0: A systematic review of associations between the use of social network sites and attachment style

2020 ◽  
pp. 026540752098267
Author(s):  
Lynne Marie Stöven ◽  
Philipp Yorck Herzberg
Keyword(s):  
Systematic Review ◽  
Social Network ◽  
Attachment Style ◽  
Private Information ◽  
Attachment Styles ◽  
Social Network Sites ◽  
Anxiety Reduction ◽  
Personal Relationships ◽  
Addictive Behaviors ◽  
Comprehensive Overview

Today, Social Network Sites (SNSs) offer a wide variety of functions for initiating and maintaining personal relationships (i.e. sharing private information, messaging, commenting, liking or viewing others profiles). According to the uses and gratifications approach, individuals chose how they use media in order to satisfy given needs. Regarding personal relationships, attachment style is associated with distinct needs and behaviors. Thus, SNS use should differ with distinct attachment styles. This review aims to answer the question, how attachment style is related to SNS usage pattern and provide a comprehensive overview, by identifying and integrating associations with different facets of SNS use. Results were based on a systematic review of 17 studies. Measures of SNS use could be attributed to the facets of three categories: (1) Quantitative use (i.e. time spent on SNSs, number of friends/followers), (2) qualitative use (social use, parasocial use, self-presentation, monitoring) and (3) SNS motive (anxiety reduction, avoiding closeness). Especially insecure attached individuals strive to satisfy attachment needs through SNS use. While anxious individuals aim to reduce anxiety i.e. by seeking feedback via online social interaction, avoidant users can feel connected browsing others’ profiles without facing the threat of closeness. Insecure attachment was associated with negative outcomes related to SNS use, such as addictive behaviors. Limitations and implications of the findings are discussed.

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 IMPACT OF OFFLINE AND ONLINE SOCIAL NETWORKS ON LONELINESS AND MENTAL HEALTH AMONG ITALIAN OLDER PEOPLE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S529-S529
Author(s):  
Daniele Zaccaria ◽  
Georgia Casanova ◽  
Antonio Guaita
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Online Social Networks ◽  
Social Network Sites ◽  
Well Being ◽  
Controlled Study ◽  
Face To Face ◽  
Causal Impact

Abstract In the last decades the study of older people and social networks has been at the core of gerontology research. The literature underlines the positive health effects of traditional and online social connections and also the social networks’s positive impact on cognitive performance, mental health and quality of life. Aging in a Networked Society is a randomized controlled study aimed at investigating causal impact of traditional face-to-face social networks and online social networks (e.g. Social Network Sites) on older people’ health, cognitive functions and well-being. A social experiment, based on a pre-existing longitudinal study (InveCe - Brain Aging in Abbiategrasso) has involved 180 older people born from 1935 to 1939 living in Abbiategrasso, a municipality near Milan. We analyse effects on health and well-being of smartphones and Facebook use (compared to engagement in a more traditional face-to-face activity), exploiting the research potential of past waves of InveCe study, which collected information concerning physical, cognitive and mental health using international validate scale, blood samples, genetic markers and information on social networks and socio-demographic characteristics of all participants. Results of statistical analysis show that poor social relations and high level of perceived loneliness (measured by Lubben Scale and UCLA Loneliness scale) affect negatively physical and mental outcomes. We also found that gender and marital status mediate the relationship between loneliness and mental wellbeing, while education has not significant effect. Moreover, trial results underline the causal impact of ICT use (smartphones, internet, social network sites) on self-perceived loneliness and cognitive and physical health.

scholarly journals Academic Social Networks: How the web is changing our way to make and communicate researches

2015 ◽  
Vol 7 (2) ◽  
pp. 3-14 ◽  
Author(s):  
Giovanni Bonaiuti
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Sites ◽  
Rapid Evolution ◽  
Scientific Field ◽  
Academic Social Network ◽  
Academic Social Networks ◽  
Insight Into ◽  
The Web ◽  
Natural Component

Abstract Networking is not only essential for success in academia, but it should also be seen as a natural component of the scholarly profession. Research is typically not a purely individualistic enterprise. Academic social network sites give researchers the ability to publicise their research outputs and connect with each other. This work aims to investigate the use done by Italian scholars of 11/D2 scientific field. The picture presented shows a realistic insight into the Italian situation, although since the phenomenon is in rapid evolution results are not stable and generalizable.

Gender Differences in the Technology’s Classic Models in Social Network Sites

2014 ◽  
pp. 126-142
Author(s):  
Begoña Peral-Peral ◽  
Ángel F. Villarejo-Ramos ◽  
Manuel J. Sánchez-Franco
Keyword(s):  
Gender Differences ◽  
Social Networks ◽  
Social Network ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Social Network Sites ◽  
Communication Technologies ◽  
Internet Users ◽  
Information And Communication ◽  
Acceptance Model

Social Network Sites (SNS) have very rapidly become part of the daily reality of Internet users in recent years. Firms also use social networks as a two-way communication with their current and potential customers. This exploratory work means to analyze if Internet users’ gender influences the behavior of using social networks. There is a reason for this. Despite Information and Communication Technologies (ICT) acceptance and use being more frequent in men, according to the previous literature, in line with different surveys on the subject, social networks are more used by women. The authors, therefore, analyze in this chapter if there are gender differences in the constructs of technology’s classic models, such as the TAM (Technology Acceptance Model) and the TPB (Theory of Planned Behavior). They use a sample of 1,460 university students.

Development of Adaptive Social Network Based on Learners' Thinking and Learning Styles

2018 ◽  
pp. 90-107
Author(s):  
Mahnane Lamia ◽  
Hafidi Mohamed
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Learning Styles ◽  
Learning Experience ◽  
Social Network Sites ◽  
Innovative Approach ◽  
Thinking Styles ◽  
New Approach ◽  
Learning Content ◽  
Web Learning

Adaptive social network sites (ASNS) are an innovative approach to a web learning experience delivery. They try to solve the main shortcomings of classical social networks—“one-size-fits-all” approach and “lost-in-hyperspace” phenomena—by adapting the learning content and its presentation to needs, goals, thinking styles, and learning styles of every individual learner. This chapter outlines a new approach to automatically detect learners' thinking and learning styles, and takes into account that thinking and learning styles may change during the learning process in unexpected and unpredictable ways. The approach is based on the Felder learning styles model and Hermann thinking styles model.

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