Disclosing Social and Location Attributes on Social Media: The Impact on Users’ Privacy

Vgena, Katerina; Kitsiou, Angeliki; Kalloniatis, Christos; Kavroudakis, Dimitris

doi:10.1007/978-3-030-95484-0_9

Cited by 2 publications

(10 citation statements)

References 30 publications

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“…In this respect, we focus on potential privacy implications that arise from social and location attribute disclosure through users’ willing choice of representing themselves on SM. The disclosure of a combination of social and location attributes seems to impose additional privacy issues, according to our previous work (Vgena et al , 2019a, 2019b). Face, frame, stage, time and activity or performance are the attributes of social identity identified as the most compatible to geolocation attributes and privacy implications (Jenkins, 2008; Lahlou, 2008; Lenberg et al , 2015; Liu et al , 2018; Storey et al , 2010), while the attributes of location information, which were examined for conducting the analogy are, namely, who, what, when and where (Liu et al , 2018; Schwartz and Halegoua, 2015; Snekkenes, 2001).…”

Section: The Social Aspects Of Privacymentioning

confidence: 73%

“…The notion is vital when referring to the rather vague category of SM “Friends.” Users’ inability to determine their friendship level more accurately (Bazarova and Choi, 2014; Trepte and Reinecke, 2011) creates a nonrealistic estimation of the number of people to whom they disclose personal information. Thus, imposing privacy issues due to incompatibilities between social stages and users faces (Bazarova and Choi, 2014; Vgena et al , 2019a, 2019b).…”

Section: The Social Aspects Of Privacymentioning

confidence: 99%

“…Unobservability is also defined by Kalloniatis as “the undetectability that uninvolved subjects have communication together with anonymity even if items of interest can necessarily be detected by the involved subjects” (p. 12) (Kalloniatis, 2016). Users waffle between not revealing and revealing personal information online; however, they disclose different types of social information, which can be classified into the five main social domains, namely, face, frame, stage, time and activity (Jenkins, 2008; Miguel and Medina, 2011; Vgena et al , 2019a, 2019b). Users’ personal information can be protected by filtering the negative consequences of self-determination and self-disclosure through the five privacy requirements.…”

Section: Discussing Users’ Socio-location Attributes and The Ffrats 4...mentioning

confidence: 99%

“…This paper, which is an extended version of the paper (Vgena et al , 2022) focuses on privacy implications imposed by the disclosure of users’ social and location attributes. The paper in hand sheds light upon privacy implications that may harm users’ privacy while disclosing both social and location attributes on SM platforms.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the role of users’ socio-location attributes and their privacy implications on social media

Vgena

Kitsiou

Kalloniatis

2022

ICS

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Purpose The purpose of this paper is to establish reciprocity among socio-location attributes while underlining the additional users’ privacy implications on social media (SM). Design/methodology/approach Digital identity theories, social software engineering theory and the Privacy Safeguard (PriS) methodology were considered while reviewing 32 papers for identifying users’ SM attributes. After proposing interrelations among socio-location attributes, the PriS method was used to match social aspects of privacy in designing case studies to illustrate the associations through potential users’ privacy implications. Findings Eighteen users’ SM attributes were collected and correlated to the Face, Frame, Activity, Time and Stage (FFrATS) 4 W (socio-location attributes), which provoke further privacy implications due to the notions of self-determination and self-disclosure on SM. The authors draw on the PriS methodology to address privacy’s multidimensionality while creating case studies to examine privacy issues arising due to socio-location attribute disclosure and users’ trajectories and normativity lines. Research limitations/implications Supplementary case studies and research are needed to enable the design of a socio-spatially and privacy-aware designing methodology. Practical implications Designing proper methodologies and techniques to address users’ privacy implications deriving from socio-location attributes can provide designers with a technical solution to SM platforms. Social implications Socio-location attribute disclosure constructs representative SM profiles; however, the revelation of attributes and their interrelations create additional privacy implications for SM users. Originality/value Deepening the understanding of disclosing socio-location attributes on SM while bridging the socio-technical gap will provide the necessary background for proposing technical solutions to protecting users’ privacy.

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Section: The Social Aspects Of Privacymentioning

confidence: 73%

Section: The Social Aspects Of Privacymentioning

confidence: 99%

Section: Discussing Users’ Socio-location Attributes and The Ffrats 4...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the role of users’ socio-location attributes and their privacy implications on social media

Vgena

Kitsiou

Kalloniatis

2022

ICS

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“…Table 3 categorizes users' SA on SM, trying to extract possible variables and identified disclosures on SM, alongside the five social identity domains. The list is extracted by creating wider branches of the SM variables, while the identified disclosures were collected from our previous work [21,81,82] and supplementary bibliography on the field which was used for carrying out our bibliographical review earlier in this paper. More precisely, Table 3 presents the five umbrella social identity domains on its first column, namely Face, Frame, Time, Stage, and Activity or Performance.…”

Section: Users' Si Domains Of Social Attributes On Smmentioning

confidence: 99%

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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Disclosing Social and Location Attributes on Social Media: The Impact on Users’ Privacy

Cited by 2 publications

References 30 publications

Understanding the role of users’ socio-location attributes and their privacy implications on social media

Understanding the role of users’ socio-location attributes and their privacy implications on social media

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

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