Skip navigation

How Computers Create Social Structures: Accidental Collectives

How Computers Create Social Structures: Accidental Collectives

Carta, Silvio ORCID logoORCID: https://orcid.org/0000-0002-7586-3121 (2024) How Computers Create Social Structures: Accidental Collectives. Palgrave Macmillan - Springer Nature, Cham, Switzerland. ISBN 978-3031628542; 978-3031628528; 978-3031628511

[thumbnail of Acknowledgments and Contents of book]
Preview
PDF (Acknowledgments and Contents of book)
48452 CARTA_How_Computers_Create_Social_Structures_Accidental_Collectives_(CONTENTS)_2024.pdf - Additional Metadata

Download (155kB) | Preview

Abstract

This book introduces the idea of accidental collectives: the grouping of people that occurs as a by-product of the automated work of computers. Software has a growing influence in our lives automating and optimising mundane, time-consuming and repetitive tasks. In doing this, groups of people are automatically created as the result of classification and data analysis. Once grouped by the invisible agency of software, people interact and establish new relationships, generating new collectives and communities. With the support of case studies and real-life examples, this work explores the accidental nature of the generation of new social groups and questions the role of software in social interactions.

Item Type: Book
Uncontrolled Keywords: data analytics, human-computer interaction, machine learning, data ethics, AI, digital ethics, digital humanities, computational design, urban informatics, software, differential privacy, big Data, human geography
Subjects: H Social Sciences > H Social Sciences (General)
N Fine Arts > NA Architecture
T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Design (DES)
Related URLs:
Last Modified: 05 Nov 2024 13:44
URI: http://gala.gre.ac.uk/id/eprint/48452

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics