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New states of emergency

Normalizing techno-surveillance in the time of Covid-19

Dados Bibliográficos

ID13092017
AutoresRaluca Csernatoni (0000-0002-1412-582X, autor correspondente)
Ano2020
Volume6
Fascículo3
Páginas301-310
Data de publicação2020-05-26
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoGlobal Affairs (JOURNAL)
Identificadores do periódicoISSN: 2334-0460 • E-ISSN: 2334-0479
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/23340460.2020.1825108
OpenAlexW3090299132
IdiomaEN
Citações recebidas13
Referências citadas5

The coronavirus has prompted states to hastily embrace sophisticated yet questionable digital surveillance tools such as contact tracing apps, turning once again to technologies as political quick fixes and rapid policy responses to the crisis. Yet, such apps raise serious concerns related to widespread surveillance, the outsourcing of expertise and sensitive data to tech giants, and the infringement of citizens' rights. The article aims to explore the state-of-play with respect to deploying tracking apps at a large scale, including potential misuses, harmful effects, and function creep leading to radical forms of state-corporate techno-surveillance. Whereas tracking apps represent a critical experiment for the role technology will play in tackling future pandemics, scepticism should surround techno-solutionism when it comes to complex problems. Hyped, and sometimes ineffective, technological silver bullets mobilized during the coronavirus state of emergency should trigger the careful assessment of the trade-offs between democratic principles and technologically mediated emergency politics

Business · Computer security · Coronavirus disease 2019 (COVID-19 · Function (biology · Internet privacy · Law and economics · Outsourcing · Pandemic · Political science · Politics · Public relations · Skepticism · Sociology · State (computer science · State of emergency · Computer Science · COVID-19 Digital Contact Tracing · Global Security and Public Health · Law · Privacy, Security, and Data Protection

  • Digital health policy decoded

    Open Access•Tahereh Saheb, Tayebeh Saheb•Health Policy•2024

  • Private Companies in Digital Security

    Open Access•Anke Sophia Obendiek•Journal of Global Security Studies•2025

  • To App or Not to App? Understanding Public Resistance to Covid-19 Digital Contact Tracing and its Criminological Relevance

    Open Access•Anita Lavorgna, Pamela Ugwudike et al.•Law Technology and Humans•2021

  • Exiting the captaverse

    Open Access•Janos Mark Szakolczai•Criminology & Criminal Justice•2023

  • People-Centered Smart Cities

    Open Access•I Calzada, Marc Pérez-Batlle et al.•Journal of Urban Affairs•2021

  • Covid-19, poverty and inclusive development

    Open Access•Jagdish Gupta, Maarten Bavinck et al.•World Development•2021

  • Delineating privacy aspects of Covid tracing applications embedded with proximity measurement technologies & digital technologies

    Open Access•Tahereh Saheb, Elham Sabour et al.•Technology in Society•2022

  • Administrative resilience and democratic backsliding in crisis governance

    Jie Xiao, Wenzheng Li et al.•Policy Studies•2026

  • The (False) promise of solutionism

    Open Access•Anke Sophia Obendiek, T Seidl•Journal of European Public Policy•2023

  • How practices of digital authoritarianism harm democracy

    Open Access•Seraphine F Maerz•Democratization•2025

  • Disruptive Technologies for Security and Defence

    Open Access•Raluca Csernatoni, Bruno Oliveira Martins•Geopolitics•2024

  • Emerging digital citizenship regimes

    Open Access•I Calzada•Citizenship Studies•2023

  • Discourse, Antagonisms, and Identities during the Covid-19 Pandemic

    Open Access•Alexei Anisin•Revista crítica de ciências…•2022

  • Dreamscapes of Modernity

    Sheila Jasanoff, Sang-Hyun Kim•Dreamscapes of Modernity•2015

  • Homo Sacer

    Giorgio Agamben•Homo Sacer•2020

  • Datafication, dataism and dataveillance

    Open Access•José Van Dijck•Surveillance & Society•2014

  • The machine that ate bad people

    Open Access•Peter Mantello•Big Data & Society•2016

Obras citantes distintas13
Citações por ano2,6
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 12
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae