Shaping Digital Identities in Social Networks: Data Elements and the Role of Privacy Concerns

Papaioannou, Thanos; Tsohou, Aggeliki; Karyda, Maria

doi:10.1007/978-3-030-42048-2_11

Cited by 6 publications

(9 citation statements)

References 51 publications

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“…In respect with privacy notion, social identity is also a complex and multifaceted concept, due to the dynamic way that it is formed and redefined in space and time, as well as due to the complexity that characterizes interpersonal interaction [48]. Previous literature indicates that individuals are characterized by multiple social identities that define their behaviors within a context of action [49,50] and respectively this procedure is proved to be taken place for our sample within SNs, as findings indicate.…”

Section: Social Identitymentioning

confidence: 52%

Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks

et al. 2021

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Social Networks (SNs) bring new types of privacy risks threats for users; which developers should be aware of when designing respective services. Aiming at safeguarding users’ privacy more effectively within SNs, self-adaptive privacy preserving schemes have been developed, considered the importance of users’ social and technological context and specific privacy criteria that should be satisfied. However, under the current self-adaptive privacy approaches, the examination of users’ social landscape interrelated with their privacy perceptions and practices, is not thoroughly considered, especially as far as users’ social attributes concern. This study, aimed at elaborating this examination in depth, in order as to identify the users’ social characteristics and privacy perceptions that can affect self-adaptive privacy design, as well as to indicate self-adaptive privacy related requirements that should be satisfied for users’ protection in SNs. The study was based on an interdisciplinary research instrument, adopting constructs and metrics from both sociological and privacy literature. The results of the survey lead to a pilot taxonomic analysis for self-adaptive privacy within SNs and to the proposal of specific privacy related requirements that should be considered for this domain. For further establishing of our interdisciplinary approach, a case study scenario was formulated, which underlines the importance of the identified self-adaptive privacy related requirements. In this regard, the study provides further insight for the development of the behavioral models that will enhance the optimal design of self-adaptive privacy preserving schemes in SNs, as well as designers to support the principle of PbD from a technical perspective.

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Section: Social Identitymentioning

confidence: 52%

Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks

et al. 2021

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“…Using enormous amounts of information creates a lenient stance towards disclosing their real identity. Real identity as a synonym to digital identity has also been discussed by previous research [34,35], signifying that there is no difference between the real, offline, and online social representations of the user. Performing as postmodern online subjects, we draw on Marwick's point on the deconstruction of the "online" and "offline identity" binary in our everyday practice.…”

Section: Digital Identity and Social Aspectsmentioning

confidence: 80%

“…As authors argue in [33], combining users' information can lower users' trust, leading to suppressing personal identity attributes on behalf of the user; researchers propose that users' control on identity management will be of benefit. The use of digital identity signifies users' attempts to represent themselves with valid identity information to communicate with other "real" users while online [13,34]. Using enormous amounts of information creates a lenient stance towards disclosing their real identity.…”

Section: Digital Identity and Social Aspectsmentioning

confidence: 99%

“…Hinton and Hjort's "intimacy online" is users' need to project everyday moments to construct their online identity [18]. Despite users' tendency to build realistic representations of their identity, there is a tendency towards an idealized representation of themselves through selecting content in reference to their context or audience [34].…”

Section: Digital Identity and Social Aspectsmentioning

confidence: 99%

“…The repetitive posting trend of photographs on SM drew researchers' attention due to the huge amount of personal and/or sensitive information revealed [34]. Users' persistent engagement on SM tends to cultivate "more lenient privacy attitudes and beliefs" [40] (p. 4).…”

Section: Privacy Implications and The Privacy Paradoxmentioning

confidence: 99%

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Determining the Role of Social Identity Attributes to the Protection of Users’ Privacy in Social Media

et al. 2022

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Drawing on digital identity theories, social software engineering theory (SSE), and the Privacy Safeguard (PriS) methodology, we examined the way that personal information uploaded on social media (SM) imposes privacy issues. Throughout a review on users’ self-representation on SM, we examined the impact of self-determination and self-disclosure on users’ privacy, and we identified the social attributes (SA) that cause privacy implications. This paper specifies 18 SA that users employ to achieve their optimal level of representation while summarizing possible ways that these attributes provoke users’ identification. In particular, our research has shown that SM users represent their personas by unveiling SA to construct popular, representative, and conversational profiles. As disclosing SA increases privacy implications, we intend to help users build profiles that respect their privacy. Examining users’ SA deepens our understanding of disclosing personal information on SM while leading to a better quantification of identity attributes; furthermore, users’ top five most revealing attributes were summarized. Considering that SSE addresses users’ privacy implications from an early stage of systems designing, our research, identifying the SA, will be helpful in addressing privacy from a socio-technical aspect, aiming at bridging the socio-technical gap by drawing designers’ attention to users’ social aspects.

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Access Control Based on Self-Sovereign Identity

Nita,

Mihailescu,

Marascu

et al. 2024

2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

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Shaping Digital Identities in Social Networks: Data Elements and the Role of Privacy Concerns

Cited by 6 publications

References 51 publications

Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks

Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks

Determining the Role of Social Identity Attributes to the Protection of Users’ Privacy in Social Media

Access Control Based on Self-Sovereign Identity

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