Privacy Concerns and Acceptance of Government Surveillance in Australia

Kininmonth, Joel; Thompson, Nik; McGill, Tanya; Bunn, Anna

doi:10.5130/acis2018.cn

Cited by 14 publications

(37 citation statements)

References 20 publications

(30 reference statements)

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“…These results have clear implications for potential corporate and government policy decisions. Historically, Australians have disproportionately trusted government agencies (84%) over private companies like Google and Apple (42%;van Souwe et al, 2017), and only accepted surveillance if it was deemed necessary (Kininmonth et al, 2018). Contrasting these established norms, our results imply that Australians are willing to sacrifice privacy to governments and corporations in order to combat the spread of COVID-19.…”

Section: Hypothetical Tracking Scenariosmentioning

confidence: 65%

“…In a recent survey of 100 Australians, Kininmonth et al (2018) found Government surveillance was acceptable when conducted by a "trusted" source for "necessary" reasons, meaning perceptions about the risk from COVID-19 and perception about those collecting the data (e.g., Governments or corporations), will impact public acceptance for COVID-19 tracking technologies.…”

Section: Figurementioning

confidence: 99%

See 1 more Smart Citation

The acceptability and uptake of smartphone tracking for COVID-19 in Australia

Garrett¹,

White²,

Lewandowsky³

et al. 2020

Preprint

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In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies to perform rapid contact tracing. However, these technologies are only effective if the public is willing to use them, implying that their perceived public health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched the `COVIDSafe' app, designed to anonymously register nearby contacts. If a contact later identifies as infected with COVID-19, health department officials can rapidly followup with their registered contacts to stop the virus' spread. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google's Bluetooth exposure notification system) in two representative samples of the Australian public prior to the launch of COVIDSafe. We compared these attitudes to usage of the COVIDSafe app after its launch in a further two representative samples of the Australian public. Using Bayesian methods, we find widespread acceptance for all tracking technologies, however, observe a large intention-behaviour gap between people’s stated attitudes and actual uptake of the COVIDSafe app. We consider the policy implications of these results for Australia and the world at large.

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Section: Hypothetical Tracking Scenariosmentioning

confidence: 65%

Section: Figurementioning

confidence: 99%

The acceptability and uptake of smartphone tracking for COVID-19 in Australia

Garrett¹,

White²,

Lewandowsky³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The different dimensions of privacy may be experienced to different degrees by the same user and results show that they do not always influence behaviour. The multidimensionality of privacy is an explanation for the sometimes paradoxical disconnect between stated privacy concerns and behaviour (Kininmonth et al 2018;Kokolakis 2017). Our work suggests that though the omnibus scales (Smith, Milberg & Burke 1996) are valuable in eliciting broader perspectives in privacy research, they are not suitable for all research goals.…”

Section: Implications For Theory and Practicementioning

confidence: 89%

Do privacy concerns determine online information disclosure? The case of internet addiction

Thompson

Ahmad

Maynard

2021

ICS

Self Cite

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Purpose It is a widely held belief that users make a rational cost-benefit decision when choosing whether to disclose information online. Yet, in the privacy context, the evidence is far from conclusive suggesting that strong and as-yet unmeasured influences on behaviour may exist. This paper aims to demonstrate one such link – the effect of internet addiction on information disclosure. Design/methodology/approach Data from 216 Web users was collected regarding their perceptions on privacy and information disclosure intentions as well as avoidance behaviour, an element of internet addiction. Using a research model based on the Privacy Calculus theory, structural equation modelling was applied to quantify the determinants of online disclosure under various conditions. Findings The authors show that not all aspects of privacy (a multi-dimensional construct) influence information disclosure. While concerns about data collection influence self-disclosure behaviour, the level of awareness about privacy does not. They next examine the impact of internet addiction on these relationships, finding that internet addiction weakens the influence of privacy concerns to the point of non-significance. Originality/value The authors highlight some of the influences of self-disclosure behaviour, showing that some but not all aspects of privacy are influential. They also demonstrate that there are powerful influences on user behaviour that have not been accounted for in prior work; internet addiction is one of these factors. This provides some of the first evidence of the potentially deleterious effect of internet addiction on the privacy calculus.

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“…More recently, Zlatolas et al (2015) tested various dimensions of privacy including values, knowledge and concerns showing different effects of various antecedents. This finding is mirrored by Kininmonth et al (2018), who show that privacy is a multi-dimensional construct and must be studied at a sufficiently granular level to attain meaningful results. Thus, in this research, the collection dimension of privacy is considered, and the following hypothesis is made: H2.…”

Section: Privacy Concernsmentioning

confidence: 90%

Who are you talking about? Contrasting determinants of online disclosure about self or others

Thompson

Brindley

2020

ITP

Self Cite

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PurposeThis paper contrasts the determinants of online disclosures about self and others in social media.Design/methodology/approachData from 216 respondents were collected through an online survey. The formal research model was tested with covariance based structural equation modeling.FindingsThe determinants of online disclosures vary whether the subject is self or others. Social networking site (SNS) users who self-disclose are also more likely to share information about others. Furthermore, there are significant gender effects in the influences of disclosure as revealed by multi-group SEM.Research limitations/implicationsFuture research models should incorporate the construct of disclosure about others and examine the intertwining of different types of disclosure on SNS. Future work should include behavioral measures, as this study relied on self-report measures.Practical implicationsThe current understanding of information sharing does not accommodate different forms of disclosure. Employers or systems administrators concerned about data sharing may need to tailor interventions to the subject of the disclosure. Furthermore, the significant gender differences in determinants of disclosure suggest that this should be considered in practical applications.Originality/valueDisclosure about others has not been examined in prior work. This study contributes by offering empirical data on the contrasting determinants of disclosure as well as gender differences. It improves the understanding of online information sharing, a topic of particular relevance in today's information oriented society.

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Privacy Concerns and Acceptance of Government Surveillance in Australia

Cited by 14 publications

References 20 publications

The acceptability and uptake of smartphone tracking for COVID-19 in Australia

The acceptability and uptake of smartphone tracking for COVID-19 in Australia

Do privacy concerns determine online information disclosure? The case of internet addiction

Who are you talking about? Contrasting determinants of online disclosure about self or others

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