ABSTRACT
Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.
TABLE OF CONTENTS
part I|104 pages
Methods
chapter 3|22 pages
Understanding and Analysing Science's Algorithmic Regimes
chapter 4|24 pages
Sensitizing for Algorithms
chapter 5|24 pages
Reassembling the Black Box of Machine Learning
part II|100 pages
Interactions
chapter 7|22 pages
Buildings in the Algorithmic Regime
chapter 8|24 pages
The Organization in the Loop
chapter 9|20 pages
Algorithm-Driven Reconfigurations of Trust Regimes
chapter 10|22 pages
Recommender Systems beyond the Filter Bubble
chapter 11|10 pages
Commentary: Taking to Machines
part III|102 pages
Politics
