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

Author

Listed:
  • Katerina Vgena

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Angeliki Kitsiou

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Christos Kalloniatis

    (Privacy Engineering and Social Informatics Laboratory, Department of Cultural Technology and Communication, University of the Aegean, GR 81100 Lesvos, Greece)

  • Stefanos Gritzalis

    (Department of Digital Systems, University of Piraeus, GR 18534 Piraeus, Greece)

Abstract

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.

Suggested Citation

  • Katerina Vgena & Angeliki Kitsiou & Christos Kalloniatis & Stefanos Gritzalis, 2022. "Determining the Role of Social Identity Attributes to the Protection of Users’ Privacy in Social Media," Future Internet, MDPI, vol. 14(9), pages 1-18, August.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:9:p:249-:d:896243
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    References listed on IDEAS

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    1. Katerina Vgena & Angeliki Kitsiou & Christos Kalloniatis & Dimitris Kavroudakis & Stefanos Gritzalis, 2019. "Toward Addressing Location Privacy Issues: New Affiliations with Social and Location Attributes," Future Internet, MDPI, vol. 11(11), pages 1-20, November.
    2. Carsten Maple, 2017. "Security and privacy in the internet of things," Journal of Cyber Policy, Taylor & Francis Journals, vol. 2(2), pages 155-184, May.
    3. Ourania Kounadi & Bernd Resch & Andreas Petutschnig, 2018. "Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research," Social Sciences, MDPI, vol. 7(10), pages 1-17, October.
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    Cited by:

    1. Angeliki Kitsiou & Charikleia Despotidi & Christos Kalloniatis & Stefanos Gritzalis, 2022. "The Role of Users’ Demographic and Social Attributes for Accepting Biometric Systems: A Greek Case Study," Future Internet, MDPI, vol. 14(11), pages 1-31, November.

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