Machine Habitus. Massimo Airoldi

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      Toward a Sociology of Algorithms

      Massimo Airoldi

      polity

      Copyright © Massimo Airoldi 2022

      The right of Massimo Airoldi to be identified as Author of this Work has been asserted in accordance with the UK Copyright, Designs and Patents Act 1988.

      First published in 2022 by Polity Press

      Polity Press

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      Cambridge CB2 1UR, UK

      Polity Press

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      All rights reserved. Except for the quotation of short passages for the purpose of criticism and review, no part of this publication may be reproduced, stored in a retrieval system or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the publisher.

      ISBN-13: 978-1-5095-4327-4

      ISBN-13: 978-1-5095-4328-1 (pb)

      A catalogue record for this book is available from the British Library.

      Library of Congress Control Number: 2021939495

      The publisher has used its best endeavours to ensure that the URLs for external websites referred to in this book are correct and active at the time of going to press. However, the publisher has no responsibility for the websites and can make no guarantee that a site will remain live or that the content is or will remain appropriate.

      Every effort has been made to trace all copyright holders, but if any have been overlooked the publisher will be pleased to include any necessary credits in any subsequent reprint or edition.

      For further information on Polity, visit our website: politybooks.com

      Habitus, c’est un grand mot pour dire quelque chose, je crois, de très complexe. C’est à dire, une espèce de petite machine génératrice – pour une analogie un peu sauvage, un programme d’ordinateur – à partir duquel les gens engendrent des foules des réponses à des foules des situations.

       Pierre Bourdieu

       Interview with Antoine Spire, 1990

      If social order is made of propensities to associate, if to be social is a propensity to associate, then big data conversion events operationalize association in matrices of propensity.

       Adrian Mackenzie, 2018

      I would like to thank Salvatore Iaconesi and Oriana Persico for taking part in two interview sessions, in the autumn of 2019 and the summer of 2020, and being a unique source of inspiration. I must also thank Hanan Salam, founder of Women in AI, for her technical clarifications and preliminary comments on this book project, and Debora Pizzimenti, for providing me with further details about the IAQOS experience. A big thanks to Alessandro Gandini, Mauro Barisione, Adam Arvidsson, and Polity’s editors and anonymous reviewers, for their insightful comments and encouragement all the way through. I also thank all my colleagues and students at EM Lyon. Last, a huge thanks to Stefania, my most important person.

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