Authors:
- Provides a comprehensive approach to technical research in the area, including analysing existing Social Machines and building new ones
- Emphasises ethical dimensions (e.g. privacy) alongside the technical account
- Introduces the reader to the foundations of the field
- Valuable for social scientists who wish to understand technical developments in the area
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
This book considers what talents one would need to understand or build a social machine, describes the state of the art, and speculates on the future, from the perspective of the EPSRC project SOCIAM – The Theory and Practice of Social Machines. The aim is to develop a set of tools and techniques for investigating, constructing and facilitating social machines, to enable us to narrow down pragmatically what is becoming a wide space, by asking ‘when willit be valuable to use these methods on a sociotechnical system?’ The systems for which the use of these methods adds value are social machines in which there is rich person-to-person communication, and where a large proportion of the machine’s behaviour is constituted by human interaction.
Authors and Affiliations
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Department of Computer Science, University of Oxford, Oxford, UK
Nigel Shadbolt
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Electronics and Computer Science, University of Southampton, Southampton, UK
Kieron O’Hara, Wendy Hall
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Oxford eResearch Centre, University of Oxford, Oxford, UK
David De Roure
Bibliographic Information
Book Title: The Theory and Practice of Social Machines
Authors: Nigel Shadbolt, Kieron O’Hara, David De Roure, Wendy Hall
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-030-10889-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-10888-5Published: 15 February 2019
eBook ISBN: 978-3-030-10889-2Published: 14 February 2019
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: XII, 260
Number of Illustrations: 6 b/w illustrations, 32 illustrations in colour
Topics: Computers and Society, Science and Technology Studies, Social Media, Data-driven Science, Modeling and Theory Building