Democratic

How we can imagine and design algorithms for a democratic society?

Democratic Algorithms

Ethnography of a Public Recommender System

Can an algorithm be democratic? And how can we understand algorithms not only as technical, but also as social and political phenomena? Democratic Algorithms offers theoretically and empirically informed perspectives on how we can imagine and design algorithms for a democratic society, and what we even mean by that. Based on ethnographic fieldwork, the book illustrates how a recommender system was built in a public broadcaster, raising questions not only about organizational and technical implementation, but also about the possible compatibility of such an algorithmic system with democratic constitutions.

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Publishing Year
2024
Language
English
Pages
214
Print Edition Price
€ 24.90 RRP
Downloads
Cover
License
CC BY-SA 4.0
ISBNs
978-3-95796-224-9 (Print)
978-3-95796-225-6 (PDF)
DOI
10.14619/2249
Available as
Print, PDF

The Author

Nikolaus Poechhacker is Post-Doc senior scientist at the Digital Age Research Center (D!ARC), University of Klagenfurt and research fellow at the Department of Innovation and Digitalisation of Law, University of Vienna. He received his PhD in Sociology at the Technical University of Munich. In his work he researches the relationship between democratic institutions, law, social order, and algorithmic systems in various domains, bringing together perspectives from media theory, STS, computer science, and sociology.

Nikolaus Poechhacker's Author Profile