Towards a Multidimensional Model to Represent Human Behaviour on Online Social Networks

Viana, Thiago ORCID: 0000-0001-9380-4611, Hemns, Jessica and Paterson, Julie (2021) Towards a Multidimensional Model to Represent Human Behaviour on Online Social Networks. International Journal of Cyber-Security and Digital Forensics, 10 (3). pp. 91-99.

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Abstract

Online social networks have been growing exponentially. Everyday loads of new users are immersed into this environment, sharing and interacting using many different methods, tools and devices. However, this ever-growing environment leads to a variety of security and privacy concerns. Addressing this challenge, this paper proposes a discussion on risks and issues that arise from user behaviours on OSNs. To this end, a multidimensional model is presented to support the identification and analysis of such behaviours. This model comprises of three dimensions, namely, (depth of) involvement, (width of) perception and (height of) action. Furthermore, a list of ten possible disclosure behaviour divided into the three dimensions is presented and discussed.This paper analyses how these behaviours can be transformed into Personal Information Disclosure (PID).

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Human behaviour; OSN; PID; Social Media
Subjects:	T Technology > T Technology (General)
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Thiago Viana
Date Deposited:	08 Mar 2022 09:16
Last Modified:	31 Oct 2023 12:20
URI:	https://eprints.glos.ac.uk/id/eprint/10736

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