COVID-19: What does it mean for digital social protection?

Autor: Silvia Masiero
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Big Data & Society, Vol 7 (2020)
Druh dokumentu: article
ISSN: 2053-9517
20539517
DOI: 10.1177/2053951720978995
Popis: COVID-19 has hit a world in which social protection schemes are increasingly augmented with digital measures. Digital identity schemes are especially being adopted to match citizens’ data with social protection entitlements, enabling authentication through demographic and, increasingly, biometric data at the point of access. In this commentary, I discuss three sets of implications that COVID-19 has yielded on digital social protection, whose central trade-off – increasing the probabilities of accurate user identification, at the cost of greater exclusions – has become even more problematic during the crisis. I argue that three forms of data injustice – legal, informational and design-related, previously identified in datafied social protection schemes, will need to be monitored in the post-pandemic scenario. I finally observe that the crisis exposes the long-term need to place digitality within social protection schemes that expand user entitlements rather than constraining them. Implications of such reflections are drawn for the study of data-based social welfare interventions.
Databáze: Directory of Open Access Journals