Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/214082 
Erscheinungsjahr: 
2019
Quellenangabe: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 8 [Issue:] 2 [Publisher:] Alexander von Humboldt Institute for Internet and Society [Place:] Berlin [Year:] 2019 [Pages:] 1-19
Verlag: 
Alexander von Humboldt Institute for Internet and Society, Berlin
Zusammenfassung: 
Algorithmic governance affects individuals' reality construction and consequently social order in societies. Vague concepts of algorithmic governance and the lack of comprehensive empirical insights into this kind of institutional steering by software from a user perspective may, however, lead to unrealistic risk assessments and premature policy conclusions. Therefore, this paper offers a theoretical model to measure the significance of algorithmic governance and an empirical mixed-methods approach to test it in different life domains. Applying this guideline should lead to a more nuanced understanding of the actual significance of algorithmic governance, thus contributing to an empirically better-informed risk assessment and governance of algorithms.
Schlagwörter: 
Algorithmic governance
Policymaking
Reality construction
Everyday life
Mixed-methods
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