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Sunlight alone is not a disinfectant

Consent and the futility of opening Big Data black boxes (without assistance)

Datos Bibliográficos

ID5260979
AutoresJonathan A Obar (0000-0002-8984-751X, York University, autor de correspondencia)
Año2020
Volumen7
Número1
Páginas205395172093561
Fecha de publicación2020-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBig Data & Society (JOURNAL)
Identificadores de la revistaISSN: 2053-9517 • E-ISSN: 2053-9517
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/2053951720935615
OpenAlexW3037873118
IdiomaEN
Citas recibidas10
Referencias citadas7

In our attempts to achieve privacy and reputation deliverables, advocating for service providers and other data managers to open Big Data black boxes and be more transparent about consent processes, algorithmic details, and data practice is easy. Moving from this call to meaningful forms of transparency, where the Big Data details are available, useful, and manageable is more difficult. Most challenging is moving from that difficult task of meaningful transparency to the seemingly impossible scenario of achieving, consistently and ubiquitously, meaningful forms of consent, where individuals are aware of data practices and implications, understand these realities, and agree to them as well. This commentary unpacks these concerns in the online consent context. It emphasizes that self-governance fallacy pervades current approaches to achieving digital forms of privacy, exemplified by the assertion that transparency and information access alone are enough to help individuals achieve privacy and reputation protections

Big data · Computer security · Data mining · Data science · Deliverable · Epistemology · Fallacy · Internet privacy · Political science · Public relations · Reputation · Blockchain Technology Applications and Security · Computer Science · Engineering · Ethics and Social Impacts of AI · Law · Privacy, Security, and Data Protection

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  • The corporate cultivation of digital resignation

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Obras citantes distintas10
Citas por año1,67
Intervalo de citas2020 - 2026 (7)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 9
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae