scholarly journals Measuring individuals’ concerns over collective privacy on social networking sites

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Haiyan Jia ◽  
Heng Xu
Keyword(s):  
Social Networking ◽  
Private Information ◽  
Social Networking Sites ◽  
Structural Model ◽  
Personal Information ◽  
Information Access ◽  
Three Dimensions ◽  
Online Information ◽  
Privacy Concerns ◽  
Starting Point

With the rise of social networking sites (SNSs), individuals not only disclose personal information but also share private information concerning others online. While shared information is co-constructed by self and others, personal and collective privacy boundaries become blurred. Thus there is an increasing concern over information privacy beyond the individual perspective. However, limited research has empirically examined if individuals are concerned about privacy loss not only of their own but their social ties’; nor is there an established instrument for measuring the collective aspect of individuals’ privacy concerns. In order to address this gap in existing literature, we propose a conceptual framework of individuals’ collective privacy concerns in the context of SNSs. Drawing on the Communication Privacy Management (CPM) theory (Petronio, 2002), we suggest three dimensions of collective privacy concerns, namely, collective information access, control and diffusion. This is followed by the development and empirical validation of a preliminary scale of SNS collective privacy concerns (SNSCPC). Structural model analyses confirm the three-dimensional conceptualization of SNSCPC and reveal antecedents of SNS users’ concerns over violations of the collective privacy boundaries. This paper serves as a starting point for theorizing privacy as a collective notion and for understanding online information disclosure as a result of social interaction and group influence.

scholarly journals A Test of Structural Model for Fear of Crime in Social Networking Sites

2019 ◽  
Vol 2 (2) ◽  
pp. 5-22
Author(s):  
Seong-Sik Lee ◽  
Kyung-shick Choi ◽  
Sinyong Choi ◽  
Elizabeth Englander
Keyword(s):  
Social Networking ◽  
Collective Efficacy ◽  
Social Networking Sites ◽  
Fear Of Crime ◽  
Structural Model ◽  
Personal Information ◽  
Crime Victimization ◽  
Fear Of Victimization ◽  
Victimization Risk ◽  
Using Data

This study constructed a structural model which consists of social demographic factors, experience of victimization, opportunity factors, and social context factors to explain the public’s fear of crime on social networking sites (SNS). The model is based on the risk interpretation model, which predicts that these factors influence users’ fear of crime victimization. Using data from 486 university students in South Korea, an empirically-tested model suggests that sex and age have direct and significant effects on fear of victimization, supporting the vulnerability hypothesis. Among opportunity factors, the level of personal information and the number of offending peers have significant effects on fear of victimization through the medium of the perceived victimization risk, although the effect of SNS usage time is not significant. In addition, it was revealed that experience of victimization has a direct effect on fear of victimization. Furthermore, findings indicate that bridging social network has a direct and indirect positive effect on fear of victimization, and collective efficacy has an indirect effect on fear of victimization. Results show that incidents in SNS have the strongest effect on fear of victimization among various factors in this model without being mediated by the perceived victimization risk. Overall, this study supports a structural model for the fear of victimization.

Lurkers, creepers, and virtuous interactivity: From property rights to consent and care as a conceptual basis for privacy concerns and information ethics

First Monday ◽  
2016 ◽  
Author(s):  
Dylan Eric Wittkower
Keyword(s):  
Data Mining ◽  
Social Networking ◽  
Social Networking Sites ◽  
Personal Information ◽  
Conceptual Basis ◽  
Feminist Ethics ◽  
Privacy Concerns ◽  
Data Ownership ◽  
Phenomenological Perspective ◽  
Informational Economy

Exchange of personal information online is usually conceptualized according to an economic model that treats personal information as data owned by the persons these data are ‘about.’ This leads to a distinct set of concerns having to do with data ownership, data mining, profits, and exploitation, which do not closely correspond to the concerns about privacy that people actually have. A post-phenomenological perspective, oriented by feminist ethics of care, urges us to figure out how privacy concerns arrive in fundamentally human contexts and to speak to that, rather than trying to convince people to care about privacy as it is juridically conceived and articulated. By considering exchanges of personal information in a human-to-human online informational economy — being friends on social networking sites — we can identify an alternate set of concerns: consent, respect, lurking, and creepiness. I argue that these concerns will provide a better guide to both users and companies about prudence and ethics in information economies than the existing discourse around ‘privacy.’

Measuring user confidence in social media security and privacy

2021 ◽  
pp. 1-16
Author(s):  
Mirna Gilman Ranogajec ◽  
Boris Badurina
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Private Information ◽  
Physical Environment ◽  
Social Networking Sites ◽  
Information Society ◽  
Online Community ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
User Friendly

In today’s Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one’s physical environment. This virtual extremity is the individual’s window to the outside world and vice versa. The process of being a part of social media has become very easy and user friendly where one is only a few private information entries away from communicating and connecting with the rest of the world. From the user’s perspective it may be a small price considering what it is gained from joining an online community, but with the rise of social networking platforms, arise privacy concerns regarding social networking services. It is questionable how many social media users consider the information they upload or post about online whether it’s their location, hobbies, employment places, age or any other private information. How many users actually read security and privacy terms when first registering for a social media account? What private information are individuals comfortable with entering and sharing on social networking sites? More and more loopholes are being found in social media frameworks that may compromise user’s privacy or that can be misused in a way that was not intended by the user. In 2010, the Google CEO Eric Schmidt was even quoted “… If we look at enough of your messaging and your location, and use artificial intelligence, we can predict where you are going to go.” (Snickars, Pelle, Vonderau, 2012). That line alone raised a lot of concerns and questions about how exactly is the information users put online being used.

Social Networking Sites Continuance: An Application of Extended Theory of Planned Behaviour

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Himanshu Rajput
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Theory Of Planned Behaviour ◽  
Standard Theory ◽  
Planned Behaviour ◽  
Privacy Concerns ◽  
Proposed Model ◽  
Continued Use ◽  
Moderating Role

Social networking sites (SNSs) have become popular in India with the proliferation of Internet. SNSs have gained the interests of academicians and researchers. The current study is an endeavor to understand the continuance of social networking sites in India. The study applies an extended version of theory of planned behavior. Additional factors privacy concerns and habits were incorporated into the standard theory of planned behaviour. A survey was conducted in a Central University in India. Overall, data was collected from 150 respondents. PLS-SEM was used to test the proposed model. All the hypotheses except the moderating role of habits between intentions and continued use of social networking sites, were supported by the results. Habits were found to affect continued use of social networking sites indirectly through continued intentions.

AI and privacy concerns: a smart meter case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jillian Carmody ◽  
Samir Shringarpure ◽  
Gerhard Van de Venter
Keyword(s):  
Private Information ◽  
Personal Information ◽  
Consumer Information ◽  
Data Sets ◽  
Smart Meter ◽  
Smart Meters ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Legislation

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

scholarly journals Information Privacy Concerns Among Instagram Users: The Case of Indonesian College Students

2020 ◽  
Vol 6 (2) ◽  
pp. 159
Author(s):  
Eko Wahyu Tyas Darmaningrat ◽  
Hanim Maria Astuti ◽  
Fadhila Alfi
Keyword(s):  
College Students ◽  
Private Information ◽  
Structural Equation ◽  
Personal Information ◽  
Information Privacy ◽  
Risk Awareness ◽  
User Privacy ◽  
Privacy Concerns ◽  
Information Privacy Concerns ◽  
Increased Risk

Background: Teenagers in Indonesia have an open nature and satisfy their desire to exist by uploading photos or videos and writing posts on Instagram. The habit of uploading photos, videos, or writings containing their personal information can be dangerous and potentially cause user privacy problems. Several criminal cases caused by information misuse have occurred in Indonesia.Objective: This paper investigates information privacy concerns among Instagram users in Indonesia, more specifically amongst college students, the largest user group of Instagram in Indonesia.Methods: This study referred to the Internet Users' Information Privacy Concerns (IUIPC) method by collecting data through the distribution of online questionnaires and analyzed the data by using Structural Equation Modelling (SEM).Results: The research finding showed that even though students are mindful of the potential danger of information misuse in Instagram, it does not affect their intention to use Instagram. Other factors that influence Indonesian college students' trust are Instagram's reputation, the number of users who use Instagram, the ease of using Instagram, the skills and knowledge of Indonesian students about Instagram, and the privacy settings that Instagram has.Conclusion: The awareness and concern of Indonesian college students for information privacy will significantly influence the increased risk awareness of information privacy. However, the increase in risk awareness does not directly affect Indonesian college students' behavior to post their private information on Instagram.

Individual Differences in Social Networking Site Adoption

2010 ◽  
pp. 1569-1586 ◽  
Author(s):  
Harsha Gangadharbatla
Keyword(s):  
Individual Differences ◽  
Social Networking ◽  
Technology Acceptance ◽  
Social Networking Sites ◽  
Structural Model ◽  
Social Networking Site ◽  
Individual Level ◽  
And Gender ◽  
Acceptance Model

This chapter focuses on detailing the role of five individual level factors—Internet self-efficacy, self-esteem, need to belong, need for information, and gender—in influencing the attitudes toward social networking sites (SNS) and the adoption of such sites. First, the growing importance of social networking sites in business is discussed, and their usage as advertising vehicles is outlined. Individual differences in SNS adoption are presented from a technology acceptance model framework. A paperpencil- based survey is conducted and data obtained is used to test a structural model that explains the role of individual-level factors in influencing individuals’ attitudes toward SNS, their willingness to join SNS, and their actual membership on SNS. Results are presented and managerial implications are drawn.

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.

Online Authentication Using Smart Card Technology in Mobile Phone Infrastructure

2011 ◽  
Vol 3 (4) ◽  
pp. 67-83
Keyword(s):  
Mobile Phone ◽  
Private Information ◽  
Personal Information ◽  
Mobile Network ◽  
Public Key Cryptography ◽  
Ease Of Use ◽  
Internet Applications ◽  
Suggested Approach ◽  
Privacy Concerns ◽  
Money Transfers

The widespread of Internet usage has resulted in a greater number and variety of applications involving different types of private information. In order to diminish privacy concerns and strengthen user trust, security improvements in terms of authentication are necessary. The solutions need to be convenient, entailing ease of use and higher mobility. The suggested approach is to make use of the already popular mobile phone and to involve the mobile network, benefiting from Subscriber Identity Module (SIM) card’s tamper resistance to become trusted entities guarding personal information and identifying users. Mobile phone’s SIM card is convenient for safely storing security parameters essential for secured communication. It becomes secure entity compulsory for getting access to privacy sensitive Internet applications, like those involving money transfers. Utilizing the NFC interface passes the personal user keys only when needed, giving additional strength to the traditional public key cryptography approach in terms of security and portability.

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