Towards a political theory of data justice: a public good perspective

Kwok, Chi; Chan, Ngai Keung

doi:10.1108/jices-11-2020-0117

Cited by 2 publications

(2 citation statements)

References 52 publications

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“…The expectation is that putting such documentation into circulation will facilitate scrutiny of it and enable individuals to make informed decisions about their participation in a given data system, taking advantage of opt-in and opt-out mechanisms, if they exist (e.g. Kwok and Chan, 2021; Turilli and Floridi, 2009). It is also claimed that transparent processes can build trust in an organisation's data systems and practices (e.g.…”

Section: Questioning Transparency Practicesmentioning

confidence: 99%

Socially meaningful transparency in data-based systems: reflections and proposals from practice

Bates

Kennedy

Perea

et al. 2023

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PurposeThe purpose is to present proposals to foster what we call a socially meaningful transparency practice that aims to enhance public understanding of data-based systems through the production of accounts that are relevant and useful to diverse publics, and society more broadly.Design/methodology/approachThe authors’ proposals emerge from reflections on challenges they experienced producing written and visual accounts of specific public sector data-based systems for research purposes. Following Ananny and Crawford's call to see limits to transparency practice as “openings”, the authors put their experience into dialogue with the literature to think about how we might chart a way through the challenges. Based on these reflections, the authors outline seven proposals for fostering socially meaningful transparency.FindingsThe authors identify three transparency challenges from their practice: information asymmetry, uncertainty and resourcing. The authors also present seven proposals related to reduction of information asymmetries between organisations and non-commercial external actors, enhanced legal rights to access information, shared decision making about what gets made transparent, making visible social impacts and uncertainties of data-systems, clear and accessible communication, timing of transparency practices and adequate resourcing.Social implicationsSocially meaningful transparency aims to enhance public understanding of data-based systems. It is therefore a necessary condition not only for informed use of data-based products, but crucially for democratic engagement in the development of datafied societies.Originality/valueThe paper contributes to existing debates on meaningful transparency by arguing for a more social, rather than individual, approach to imagining how to make transparency practice more meaningful. The authors do this through their empirical reflection on our experience of doing transparency, conceptually through our notion of socially meaningful transparency, and practically through our seven proposals.

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Section: Questioning Transparency Practicesmentioning

confidence: 99%

Socially meaningful transparency in data-based systems: reflections and proposals from practice

Bates

Kennedy

Perea

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Towards a Political Theory of Data Justice: A Public Good Perspective [105] Interdisciplinary study proposing a political theory of data justice from a public good perspective. The study connects three political theories of the public good with empirical studies on the functions of big data to guide and constrain state data practices that aim to minimize political abuse of data power.…”

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confidence: 99%

Governance Democratic and Big Data: A Systematic Mapping Review

Hochstetter-Diez,

Negrier-Seguel,

Diéguez-Rebolledo

et al. 2023

Sustainability

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The use and management of Big Data in the political sphere has posed unprecedented challenges concerning democratic governance, equity, and the rule of law. As Big Data establishes itself as a resource of growing value, it is imperative to address one of the most critical challenges: data sustainability. Data sustainability involves social and ethical considerations relating to the correct use of personal data. Lack of informed consent and transparency in collecting and using personal data raises serious concerns regarding privacy and individual rights. It is necessary to define regulations and public policies that guarantee citizens’ digital rights based on ethical and democratic standards associated with data management. This article aims to review the literature in the context of data sustainability to identify how Big Data is used, particularly emphasizing its application in the policy domain and the challenges it poses for democratic governance, equity, and law. We have used systematic mapping methodology to collect relevant papers, finding 28 papers associated with democratic governance and Big Data in the context of data sustainability. From the review of these papers, there appears to be a lack of proposals focusing on applying or implementing democratic governance and Big Data. Furthermore, there seem to be no measures to assess the application of Big Data in democratic governance. From these, the need to move towards the definition of formal models that integrate Big Data practices in democratic governance is identified.

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Towards a political theory of data justice: a public good perspective

Cited by 2 publications

References 52 publications

Socially meaningful transparency in data-based systems: reflections and proposals from practice

Socially meaningful transparency in data-based systems: reflections and proposals from practice

Governance Democratic and Big Data: A Systematic Mapping Review

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