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The Digital Trinity—Controllable Human Evolution—Implicit Everyday Religion

Latzer, Michael (2022). The Digital Trinity—Controllable Human Evolution—Implicit Everyday Religion. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 74(S1):331-354.

Abstract

How can the ubiquitous digitalization in the early twenty-first century be grasped and characterized? A media-change perspective that focuses on innovation-driven, complex co-evolutionary processes distinguishes two phases of digitalization and points to the following characteristics of its second phase: digitalization is an intertwined bundle of socio-technological transformation processes that reveals itself as a trinity of datafication, algorithmization and platformization. On the industry and politics side, this co-evolutionary trinity is driven by the belief in a scientifically and technologically controllable human evolution, reflected in the pursuit of nano-bio-info-cogno convergence, and accordingly linked to a transhumanism standing for this belief. On the users’ side, the digital trinity is characterized and driven by the convergence of digital technology and religion in the form of an implicit everyday religion. These hallmarks of digitalization lead to a digitally transformed social order, shaped by the interplay of governance by and of this digital trinity, and challenged by growing complexity.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Communication and Media Research
Dewey Decimal Classification:070 News media, journalism & publishing
Scopus Subject Areas:Social Sciences & Humanities > Social Psychology
Social Sciences & Humanities > Sociology and Political Science
Uncontrolled Keywords:Sociology and Political Science, Social Psychology
Language:English
Date:1 June 2022
Deposited On:08 Feb 2023 13:40
Last Modified:27 Apr 2025 01:35
Publisher:Springer
ISSN:0023-2653
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s11577-022-00841-8
Project Information:
  • Funder: University of Zurich
  • Grant ID:
  • Project Title:
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