Privacy in social networks: An analysis of Facebook

Külcü, Özgür; Henkoğlu, Türkay

doi:10.1016/j.ijinfomgt.2014.07.006

Cited by 43 publications

(14 citation statements)

References 6 publications

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“…Several studies have demonstrated the influence of prolonged use of Facebook on the psychological characteristics (attitudes and behaviors) of users (Amichai-Hamburger & Vinitzky, 2010;Correa et al, 2010;Dickie & Meier, 2015;Hayes et al, 2015;Lönnqvist & große Deters, 2016;Ross et al, 2009;Ryan & Xenos, 2011;Sagioglou & Greitemeyer, 2014;Shen et al, 2015;Wilson, Fornasier, & White, 2010). Some other existing studies pinpoint the effect of Facebook media interaction between users (Brailovskaia & Bierhoff, 2016;Mendes, Furtado, Militao, & de Castro, 2015), and several other studies have been carried out to investigate the privacy, trust and security concerns on Facebook (Junior, Xavier, & Prates, 2014;Külcü & Henkoğlu, 2014;Saeri, Ogilvie, La Macchia, Smith, & Louis, 2014;Tsay-Vogel et al, 2016).…”

Section: Facebook Literature Reviewmentioning

confidence: 99%

Structural equation modeling and confirmatory factor analysis of social media use and education

Abrahim

Mir

Suhara

et al. 2019

Int J Educ Technol High Educ

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The objective of this study is to design a structural equation model and test confirmatory factor analysis system in order to better explain how students could utilize social networking system (Facebook) for educational purposes. Thus, this paper seeks to examine the attitude, perception and behaviour of Japanese students' towards social-networking sites, and how students from non-English speaking backgrounds (especially Japanese students) at the University of Toyama perceive the use of Facebook for learning English as a foreign language. Our Structural Equation Modelling system based Facebook model outline the relations among different types of independent, dependent variables and constructs. We tested our model using adequate fitting indices like Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Non-Normed Fit Index/Tucker Lewis index (NNFI/TLI) and Incremental Fit Index (IFI). The results of the proposed model confirmed the hypothesized latent structures and theoretical validity of probed factors. Conclusions drawn from this study might be useful to better understand the use of social networking tools in educational context.

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Section: Facebook Literature Reviewmentioning

confidence: 99%

Structural equation modeling and confirmatory factor analysis of social media use and education

Abrahim

Mir

Suhara

et al. 2019

Int J Educ Technol High Educ

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“…The privacy calculus model argues that individuals perform a costs-benefits analysis before self-disclosure (Dinev & Hart, 2006). In the context of mobile social interactions, one of the major threats of self-disclosure is the concerns for privacy invasion (Külcü & Henkoğlu, 2014). Users who disclose personal information may obtain social rewards, such as developing and maintaining intimate relationships with peers or monetary rewards, such as coupons, cash bonuses, and discounts.…”

Section: Self-disclosure and Privacy Calculusmentioning

confidence: 99%

“…The privacy calculus model, which argues that self-disclosure intentions are determined by the rational calculus of the benefits and costs of privacy behaviours, is widely adopted in information system (IS) literatures (Dinev & Hart, 2006;Jiang, Heng, & Choi, 2013;Wang, Duong, & Chen, 2016). Külcü and Henkoğlu (2014) revealed that the concern for the loss of privacy is a significant barrier for self-disclosure in the information age. Monetary rewards, such as cash bonus, discounts and coupons can compensate the privacy concerns of disclosing personal information in online transactions (Posey, Lowry, Roberts, & Ellis, 2010).…”

Section: Introductionmentioning

confidence: 99%

Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking

Wang

Yan

Lin

et al. 2017

International Journal of Information Management

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Large amounts of customer data present rich business opportunities. Drawing on the privacy calculus model, this study investigates the antecedents of self-disclosure intention and self-disclosure honesty. We extend the privacy calculus model by exploring how the characteristics of service providers and the interpersonal difference of users influence privacy trade-off. An online empirical survey that involves 913 respondents was conducted. We find that both monetary rewards and social rewards positively predict self-disclosure intention, whereas only social rewards positively predict self-disclosure honesty. Moreover, application reputation and flow experience of users weaken the perceptions of privacy concern, and application compatibility and flow experience strengthen the perceptions of social rewards. Our results suggest that users place more weight on social rewards than on monetary rewards. Therefore, service providers are advised to create salient and distinct social rewards. They can also adopt distinct marketing strategies based on their profiles and the interpersonal difference of their users.

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“…In social media usage, it is observed that women pay more attention to privacy than male users. (De Wolf, Willaert & Pierson, 2014;Hoy & Milne, 2010;Külcü & Henkoğlu, 2014, Litt, 2013.Therefore today's scientific studies focus on the privacy of the Internet, and in a significant majority of the studies, privacy is addressed in the axis of concern for the violation of the privacy of the individual (Yıldırım, 2016). Taddicken (2013) in his research, studied privacy concerns on the Internet self-disclosure behavior.…”

Section: Introductionmentioning

confidence: 99%

An analysis of online privacy concerns of teacher candidates

Korucu¹,

Gürkez²

2019

PER

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Examining the online privacy concerns of our prospective teachers who will raise our future generations is important in terms of determining and increasing the awareness levels of prospective teachers of the digital world and for the development of a conscious generation having this awareness while raising students. The definition of cyber space or virtual environments has further expanded; digital business applications, online services, online training systems, e-commerce sites, social media sites, and surely multiplayer video games have also been included in the definition. The definition of these digital spaces as virtual spaces creates questions as to how individuals exist in these places and how they travel in these places. This study, whose aim is to analyze online confidentiality concerns of prospective teachers in terms of various variables, consists of 92 teacher candidates who were studying in Necmettin Erbakan University of Konya in 2018-2019 academic year. In this study, where quantitative research was adopted, surveying model was used as a research method. The data collection tool was "The Online Privacy Concern Scale (OPCS)" developed. Descriptive statistics, Independent samples t-test and one-way analysis of variance were used during the analysis. It is found out that online privacy concerns of teacher candidates differ significantly in terms of mobile device usage times and classes. However there was no significant difference in online privacy concerns in terms of information and communication technologies usage levels, weekly Internet usage times, gender, department, age and mobile usage level.

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Privacy in social networks: An analysis of Facebook

Abstract: Öz

Cited by 43 publications

References 6 publications

Structural equation modeling and confirmatory factor analysis of social media use and education

Structural equation modeling and confirmatory factor analysis of social media use and education

Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking

An analysis of online privacy concerns of teacher candidates

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