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dc.contributor.authorCalzada Mugica, Igor ORCID
dc.date.accessioned2024-04-08T17:48:17Z
dc.date.available2024-04-08T17:48:17Z
dc.date.issued2024-02-26
dc.identifier.citationBig Data and Cognitive Computing 8(3) : (2024) // Article ID 26es_ES
dc.identifier.issn2504-2289
dc.identifier.urihttp://hdl.handle.net/10810/66565
dc.description.abstractThis article investigates the intricate dynamics of data monopolies, referred to as “data-opolies”, and their implications for democratic erosion. Data-opolies, typically embodied by large technology corporations, accumulate extensive datasets, affording them significant influence. The sustainability of such data practices is critically examined within the context of decentralized Web3 technologies amidst Artificial Intelligence (AI) disruption. Additionally, the article explores emancipatory datafication strategies to counterbalance the dominance of data-opolies. It presents an in-depth analysis of two emergent phenomena within the decentralized Web3 emerging landscape: People-Centered Smart Cities and Datafied Network States. The article investigates a paradigm shift in data governance and advocates for joint efforts to establish equitable data ecosystems, with an emphasis on prioritizing data sovereignty and achieving digital self-governance. It elucidates the remarkable roles of (i) blockchain, (ii) decentralized autonomous organizations (DAOs), and (iii) data cooperatives in empowering citizens to have control over their personal data. In conclusion, the article introduces a forward-looking examination of Web3 decentralized technologies, outlining a timely path toward a more transparent, inclusive, and emancipatory data-driven democracy. This approach challenges the prevailing dominance of data-opolies and offers a framework for regenerating datafied democracies through decentralized and emerging Web3 technologies.es_ES
dc.description.sponsorshipThis research was funded by (i) The Learned Society of Wales (LSW) under Grant 524205; (ii) Fulbright Scholar-In-Residence (S-I-R) Award 2022-23, Grant Number PS00334379 by the US–UK Fulbright Commission and IIE, US Department of State at the California State University; (iii) the Economic and Social Research Council (ESRC) under Grant ES/S012435/1 “WISERD Civil Society: Changing Perspectives on Civic Stratification/Repair”; (iv) Presidency of the Basque Government, External Affairs General Secretary, Basque Communities Abroad Direction, Scientific Direction and Strategic Advisory e-Diaspora Platform HanHemen (www.hanhemen.eus/en; accessed on 18 February 2024) Reference PT10859; (v) Ikerbasque Start Up Fund, 3021.23.EMAJ; and (vi) Ayuda en Acción NGO, Innovation & Impact Unit, Research Contract: Scientific Direction and Strategic Advisory, Social Innovation Platforms in the Age of Artificial Intelligence (AI) (www.socialsolver.org), Reference PT10863.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectdata-opolieses_ES
dc.subjectdemocratic erosiones_ES
dc.subjectWeb3es_ES
dc.subjectAIes_ES
dc.subjectblockchaines_ES
dc.subjectDAOses_ES
dc.subjectdata cooperativeses_ES
dc.subjectdisruptive technologieses_ES
dc.subjectemerging technologieses_ES
dc.subjectdecentralized technologieses_ES
dc.titleDemocratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruptiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-03-27T13:15:52Z
dc.rights.holder© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2504-2289/8/3/26es_ES
dc.identifier.doi10.3390/bdcc8030026
dc.departamentoesHistoria contemporánea
dc.departamentoeuHistoria garaikidea


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).