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Research on online user privacy shows that empirical evidence on how privacy literacy relates to users' information privacy empowerment is missing. To fill this gap, this paper investigated the respective influence of two primary dimensions of online privacy literacy – namely declarative and procedural knowledge – on online users' information privacy empowerment.

An empirical analysis is conducted using a dataset collected in Europe. This survey was conducted in 2019 among 27,524 representative respondents of the European population.

The main results show that users' procedural knowledge is positively linked to users' privacy empowerment. The relationship between users' declarative knowledge and users' privacy empowerment is partially supported. While greater awareness about firms and organizations practices in terms of data collections and further uses conditions was found to be significantly associated with increased users' privacy empowerment, unpredictably, results revealed that the awareness about the GDPR and user’s privacy empowerment are negatively associated. The empirical findings reveal also that greater online privacy literacy is associated with heightened users' information privacy empowerment.

While few advanced studies made systematic efforts to measure changes occurred on websites since the GDPR enforcement, it remains unclear, however, how individuals perceive, understand and apply the GDPR rights/guarantees and their likelihood to strengthen users' information privacy control. Therefore, this paper contributes empirically to understanding how online users' privacy literacy shaped by both users' declarative and procedural knowledge is likely to affect users' information privacy empowerment. The study empirically investigates the effectiveness of the GDPR in raising users' information privacy empowerment from user-based perspective. Results stress the importance of greater transparency of data tracking and processing decisions made by online businesses and services to strengthen users' control over information privacy. Study findings also put emphasis on the crucial need for more educational efforts to raise users' awareness about the GDPR rights/guarantees related to data protection. Empirical findings also show that users who are more likely to adopt self-protective approaches to reinforce personal data privacy are more likely to perceive greater control over personal data. A broad implication of this finding for practitioners and E-businesses stresses the need for empowering users with adequate privacy protection tools to ensure more confidential transactions.

The purpose of this paper is two-fold. First, it explores the extent to which diversity of connectivity or the connection through multiple internet access points may facilitate online privacy behavior. Second, it explains the diversity of connectivity-online privacy behavior link in terms of information literacy.

Situated in the context of urban poor youth in the Philippines (n = 300), this paper used a quantitative approach, specifically an interview-administered survey technique. Respondents were from three cities in Metro Manila. To test for indirect relationship, survey data were analyzed using bootstrapping technique via SPSS macro PROCESS (Hayes, 2013).

Urban poor youth with diversified connection to the internet engaged in online privacy behavior. The more the youth are connected to the internet through diverse modalities, the more this fosters cautious online privacy behavior. In addition, information literacy explained how diversity of connectivity facilitated online privacy behavior. It suggests that differences in online privacy behavior may result from the extent of basic know-how of navigating online information. In the context of the urban poor in the Global South, the youth are constantly negotiating ways to not only connect to the internet but also acquire digital skills necessary for protective online behaviors.

To date, this is one of the few papers to contribute to conversations about online privacy among youth in the Global South. It broadens the literature on social determinants of online privacy behavior that is crucial for designing policy interventions for those in the margins.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122

The purpose of this paper is to investigate the attitudes and influential factors of users’ knowledge and use of the tools designated for controlling and enhancing online privacy, which are referred to as online privacy literacy (OPL). Particularly, inspired by the protection motivation theory, a motivational factor is defined as comprising several variables which reflect users’ motivation to protect their online privacy.

To this end, a user study was conducted based on the quantitative method with the participation of 169 students from the Israeli academia who were administered closed-ended questionnaires.

Generally low to moderate levels of OPL were obtained. Interestingly, the multivariate linear regression analysis showed that motivational factors, such as users’ concern for personal information protection on the internet and users’ privacy self-efficacy and sense of anonymity when visiting a website, were among the strongest predictive factors of users’ OPL level.

This research has social implications that might contribute to an increase in the OPL among internet users.

The direct influence of the examined factors on users’ OPL was not previously discussed in the literature. As a result of the study, a comprehensive model of user online privacy behavior was constructed.

Existing privacy-related educational materials are not situated in privacy theory, making it hard to understand what specifically children learn about privacy. This article aims to offer learning objectives and guidance grounded in theories of privacy and learning to serve as a foundation for privacy literacy efforts.

This article reviews theories of privacy and literacy as social practices and uses these insights to contribute a set of learning objectives for privacy education called the 5Ds of privacy literacy.

This article connects the 5Ds of privacy literacy with existing curricular standards and offers guidance for using the 5Ds to create educational efforts for preteens grounded in theories of sociocultural learning.

Learning scientists, instructional designers and privacy educators can use the 5Ds of privacy literacy to develop educational programs that help children hone their ability to enact appropriate information flows.

Current approaches to privacy education treat privacy as something people need to protect from the incursions of technology, but the authors believe the 5Ds of privacy literacy can redefine privacy – for children and adults alike – as something people experience with the help of technology.

This study uniquely integrates theories of privacy and learning into an educational framework to guide privacy literacy pedagogy.

This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals.

This article analyzes theory and prior work on datafication, privacy, data literacy, privacy literacy and critical literacy to provide a vision for future privacy literacy research and praxis.

This article (1) explains why privacy is a valuable rallying point around which people can resist datafication, (2) locates privacy literacy within data literacy, (3) identifies three ways that current research and praxis have conceptualized privacy literacy (i.e. as knowledge, as a process of critical thinking and as a practice of enacting information flows) and offers a shared purpose to animate privacy literacy research and praxis toward social change and (4) explains how critical literacy can help privacy literacy scholars and practitioners orient their research and praxis toward changing the conditions that create privacy concerns.

This article uniquely synthesizes existing scholarship on data literacy, privacy literacy and critical literacy to provide a vision for how privacy literacy research and praxis can go beyond improving individual understanding and toward enacting social change.

Internet user privacy risks have been a topical subject with respect to consumers, corporations and governments. In line with the recent privacy scandals linked to social media, the aim of this study is to explore users’ privacy protection behaviors (PPB) on Facebook through the actions they take to protect their privacy, their underlying motives and the values behind these protective actions. Moreover, this study aims to address an unintended consequence of Facebook usage. Despite Facebook’s positive and uplifting goal of connecting people, consumers are forced to resort to specific behaviors to protect their privacy and well-being.

This study adopts an exploratory research approach by using a well-established qualitative technique: structured laddering interviews. In total, 20 in-depth personal interviews were conducted with the Millennials.

Results show that the process of privacy protection is initiated by experiences, uncertainty and literacy, rather than threats, which leads to concerns that trigger PPBs. The most common PPBs include: “Reflection,” “Avoidance,” “Intervention,” “Restriction,” “Control,” and “Restraint.” The underlying motives for the adoption of these strategies include: “Success,” “Security,” “Social Recognition,” “A World of Peace,” “Exclusivity of Self,” “Being in Control,” “Meaning” and “True Friendship”.

The present research adopts a transdisciplinary framework to help fill the gap regarding the interplay of PPBs on Facebook, the triggers of those behaviors and their underlying motives. It contributes to the service literature and practice as it provides insights into a growing area of interest, whereas more social media channels are being created and more services are using social media strategies to engage and interact with their customers. Finally, it addresses the growing need to consider the impact of technological services, including internet and social media, on consumers’ and societies’ well-being.

The purpose of this paper is to investigate the relationship between individual and societal determinants of online privacy concern (OPC) and behavioral intention of internet users. The study also aims to assess the degree of reciprocity between consumers’ perceived benefits of using the internet and their OPC in the context of their decision-making process in the online environment.

The study proposes comprehensive model for analysis of antecedents and consequences of OPC. Empirical analysis is performed using the PLS–SEM approach on a representative sample of 2,060 internet users.

The findings show that computer anxiety and perceived quality of regulatory framework are significant antecedents of OPC, while traditional values and inclinations toward security, family and social order; and social trust are not. Furthermore, the study reveals that perceived benefits of using the internet are the predominant factor explaining the intention to share personal information and adopt new technologies, while OPC dominates in explanation of protective behavior.

Although the authors tested an extended model, there might be other individual characteristics driving the level of OPC. This research covers just one country and further replications should be conducted to confirm findings in diverse socio-economic contexts. It is impossible to capture the real behavior with survey data, and experimental studies may be needed to verify the research model.

Managers should work toward maximizing perceived benefits of consumers’ online interaction with the company, while at the same time being transparent about the gathered data and their intended purpose. Considering the latter, companies should clearly communicate their compliance with the emerging new data protection regulation.

New extended model is developed and empirically tested, consolidating current different streams of research into one conceptual model.

While social networking sites (SNS) have many positive aspects, they can have several adverse outcomes, among which privacy violations are a vital concern. The authors first posit that concerns regarding privacy violations can drive attempts to reduce SNS use. Next, the authors note that these violations can have two sources: peers and the social media provider. Thus, there is a need to understand how this complex system of privacy concerns affects use reduction decisions. To do so, this paper aims to examine the separate and joint roles of institutional and peer privacy concerns in driving SNS use reduction.

Based on privacy calculus theory, the authors propose a theoretical model to explain SNS use reduction, with institutional and peer privacy concerns as independent variables. The authors empirically examine the research model using a sample of 258 SNS users.

This study reveals that institutional and peer privacy concerns independently increase one's intention to reduce SNS use and that institutional privacy concern strengthen the relation between peer privacy concern and the intention to reduce SNS use.

Research thus far has not examined how the two facets of privacy work in tandem to affect 'users' decisions to change their behaviors on SNS platforms. Considering the unique and joint effect of these facets can thus provide a more precise and realistic perspective. This paper informs theories and models of privacy and online user behavior change.

Mobile phones have become one of the most favored devices to maintain social connections as well as logging digital information about personal lives. The privacy of the metadata being generated in this process has been a topic of intense debate over the last few years, but most of the debate has been focused on stonewalling such data. At the same time, such metadata is already being used to automatically infer a user’s preferences for commercial products, media, or political agencies. The purpose of this paper is to understand the predictive power of phone usage features on individual privacy attitudes.

The present study uses a mixed-method approach, involving analysis of mobile phone metadata, self-reported survey on privacy attitudes and semi-structured interviews. This paper analyzes the interconnections between user’s social and behavioral data as obtained via their phone with their self-reported privacy attitudes and interprets them based on the semi-structured interviews.

The findings from the study suggest that an analysis of mobile phone metadata reveals vital clues to a person’s privacy attitudes. This study finds that multiple phone signals have significant predictive power on an individual’s privacy attitudes. The results motivate a newer direction of automatically inferring a user’s privacy attitudes by leveraging their phone usage information.

An ability to automatically infer a user’s privacy attitudes could allow users to utilize their own phone metadata to get automatic recommendations for privacy settings appropriate for them. This study offers information scientists, government agencies and mobile app developers, an understanding of user privacy needs, helping them create apps that take these traits into account.

The primary value of this paper lies in providing a better understanding of the predictive power of phone usage features on individual privacy attitudes.