Table of Contents

Chapters in this book

1. Frontmatter 1
2. Table of Contents 5
3. 1. Knowing in Algorithmic Regimes: An Introduction 7
4. I. METHODS
5. 2. Revisiting Transparency Efforts in Algorithmic Regimes 37
6. 3. Understanding and Analysing Science’s Algorithmic Regimes : A Primer in Computational Science Code Studies 57
7. 4. Sensitizing for Algorithms : Foregrounding Experience in the Interpretive Study of Algorithmic Regimes 79
8. 5. Reassembling the Black Box of Machine Learning : Of Monsters and the Reversibility of Foldings 103
9. 6. Commentary: Methods in Algorithmic Regimes 127
10. II. INTERACTIONS
11. 7. Buildings in the Algorithmic Regime : Infrastructuring Processes in Computational Design 141
12. 8. The Organization in the Loop : Exploring Organizations as Complex Elements of Algorithmic Assemblages 163
13. 9. Algorithm-Driven Reconfigurations of Trust Regimes : An Analysis of the Potentiality of Fake News 187
14. 10. Recommender Systems beyond the Filter Bubble : Algorithmic Media and the Fabrication of Publics 207
15. 11. Commentary: Taking to Machines : Knowledge Production and Social Relations in the Age of Governance by Data Infrastructure 229
16. III. POLITICS
17. 12. The Politics of Data Science : Institutionalizing Algorithmic Regimes of Knowledge Production 241
18. 13. Algorithmic Futures: Governmentality and Prediction Regimes 265
19. 14. Power and Resistance in the Twitter Bias Discourse 287
20. 15. Making Algorithms Fair : Ethnographic Insights from Machine Learning Interventions 309
21. 16. Commentary : The Entanglements, Experiments, and Uncertainties of Algorithmic Regimes 331
22. Index 341