Table of Contents

Acknowledgments

List of Figures

List of Tables

Preface

1. Why not a sociology of algorithms?

2. Culture in the code

3. Code in the culture

4. A Theory of Machine Habitus

5. Techno-Social Reproduction

References

About the Author

Massimo Airoldi is a sociologist and Assistant Professor at EM Lyon Business School.

Reviews

"I strongly suspect that Massimo Airoldi’s “machine habitus” is a concept that will be utilized and debated for years to come. At its centre, this book is a lively and original take on how we can understand social connections and society itself in a world laced with algorithms: it is an agenda-setting text."
David Beer, University of York "Machine Habitus is without question an original and high-quality book. It is one of the first books that uses sociological theory to make sense of machine learning algorithms. Hence it will be essential reading for anyone interested in understanding algorithms and their growing role in our societies."
Simon Egbert, Universität Bielefeld

"an insightful book"
AI & SOCIETY: Journal of Knowledge, Culture and Communication