Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45908
Title: Algorithmic Governmentality, Digital Sovereignty, and Agency Affordances - Extending the Possible Fields of Action
Authors: POP STEFANIJA, Ana 
PIERSON, Jo 
Issue Date: 2023
Publisher: Weizenbaum-Institut
Source: Weizenbaum Journal of the Digital Society, 3 (2) , p. 1 -30
Abstract: In today’s socio-technical constellations, our daily online and offline lives are increasingly governed by what can be termed algorithmic governmentality. Understood as the governing of the social based on the algorithmic processing of big data, algorithmic governmentality significantly limits human agency and individuals’ abilities to control data inputs and algorithmic outputs. An antidote and a solution to governance of this kind require assembling conditions for enabling digital sovereignty. Seen as a counter-conduct to governmentality, sovereignty concerns agency, control, autonomy, authority, self-reflection, and self-determination. Foregrounded on empirical research that relates specifically to platform algorithms, this article discusses the requirements for the digital sovereignty of individuals and the socio-technical conditions that should enable that sovereignty. By introducing and conceptualizing the notion of agency affordances, the article provides several illustrative examples of how this sovereignty can be inscribed through the technical and unfold via the societal.
Document URI: http://hdl.handle.net/1942/45908
Link to publication/dataset: https://ojs.weizenbaum-institut.de/index.php/wjds/issue/view/10
DOI: 10.34669/WI.WJDS/3.2
Rights: 2023 Ana Pop Stefanija, Jo Pierson (Author) Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.
Category: A2
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
WJDS_3_2_2_Pop+Stefanija.pdfPublished version1.43 MBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.