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South African Journal of Information Management
versão On-line ISSN 1560-683X
versão impressa ISSN 2078-1865
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VAN DER SCHYFF, Karl e FLOWERDAY, Stephen. Social media surveillance: A personality-driven behaviour model. SAJIM (Online) [online]. 2019, vol.21, n.1, pp.1-9. ISSN 1560-683X. http://dx.doi.org/10.4102/sajim.v21i1.1034.
BACKGROUND: The use of third-party Facebook apps have become a common occurrence. However, this leads to problems such as information misuse, because many Facebook apps are able to build accurate behavioural and usage profiles which users are unaware of OBJECTIVES: The aim of this article was to develop a research model that could be used to evaluate the influence of awareness and personality on the intent to use third-party Facebook apps METHOD: In this article, we took a qualitative approach to code awareness and personality related literature using Atlas.ti software. After reviewing the codes, propositions were created and integrated into an adapted version of the Theory of Planned Behaviour RESULTS: The study found that it is likely that individuals' personality type will influence their intent to use third-party Facebook apps. It also found evidence to suggest that awareness of social media surveillance will influence a user's intent to use third-party Facebook apps. Based on the review, the article proposes the use of an adapted version of the Theory of Planned Behaviour by incorporating information security awareness of social media surveillance CONCLUSION: Although social media surveillance is commonplace, much of it is conducted for commercial purposes without users being aware thereof. This article concludes that it is possible to determine a Facebook user's susceptibility to social media surveillance via third-party apps by evaluating the combined influence of personality type and awareness
Palavras-chave : Facebook; surveillance; personality types; information security awareness; Theory of Planned Behaviour.