Nigel Shadbolt, Kieron O'Hara, David De Roure, Wendy Hall.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xii, 260 pages) :
Other Physical Details
illustrations
SERIES
Series Title
Lecture notes in social networks
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Intro; Preface and Acknowledgments; Contents; About the Authors; Chapter 1: Characterising Social Machines; Introduction; What Is a Social Machine? The Machine Metaphor; Ten Aspects of Machines; Mechanistic Explanation; Building Blocks of Social Machines; Heterogeneous Human-Computer Networks; Social Computing; Communication; Communication and Engagement Within Social Machines; Communication as Annotation; Platforms and Communities; Social Machines and Their Ecosystems; From Network to Activity; Ethical Concepts; The Dark Side; Some Examples of Social Machines; Wikipedia; Citizen Science
Text of Note
Example: Social and/or Financial Incentives; Example: Disengagement; Citizen Science: The Example of Zooniverse; Zooniverse Architecture; Designing Platforms for Citizen Science; Task Specificity; Community Development; Task Design; Public Relations and Engagement; Data to Feed Back: Studying Social Machines in Citizen Science; Social Machines in Action: Further Examples; Mathematical Social Machines; Political Social Machines; Musical Social Machines; Wikipedia: A Creative Social Machine; Chapter 4: Privacy, Trust and Ethical Issues; Introduction; The Ethics of Social Machines
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Healthcare; Pokémon Go!; Classifying Social Machines; Social Machines and Related Paradigms; Defining Social Machines; Analysing and Engineering: A Social Machine Lens; Chapter 2: Theory; Introduction; Social Machines as Social; Narratives; Prosopography; Example Narrative 1: Retweeting; Example Narrative 2: Green Peas in 12 Moments; Wayfaring; Transcendental Information Cascades; Example Application of Transcendental Information Cascades 1: Citizen Science; Example Application of Transcendental Information Cascades 2: Wikipedia; Decomposing Reflexivity
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Provenance for the Study of Social Machines; Example 1: Capturing Provenance in a Ride Share Application; Example 2: Simulating a Social Machine; Social Machines for Crowdsourcing Provenance; Example 1: Scholarly Communication and Data Citation; Example 2: Open Data Quality; Chapter 3: Practice; Introduction; Gathering the Evidence: The Web Observatory; A Social Machine Observatory: The Vision; Building the Web Observatory; Architecture; The Southampton University Web Observatory (SUWO); Data; API; SUWO for Web Science; Modelling the Crowd; Example: Motivations for Participation
Text of Note
Social Computing and Diversity: Mandevillian Intelligence; Social Machines as Machines; The Lightweight Social Calculus; Shadow Institutions; Sociograms; Modelling Coordination and Quality Constraints; Data; Annotation; Annotations and Data; Annotations vs. Data?; Provenance; Use Cases for Provenance in Social Machines; Functional Use Cases; Audit Use Cases; Privacy and Security Use Cases; Administrative Use Cases; Provenance Methodology; Standardisation; Templates; Composition; Summarisation; Provenance Network Analytics; Deriving Provenance for Social Computation
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SUMMARY OR ABSTRACT
Text of Note
Social machines are a type of network connected by interactive digital devices made possible by the ubiquitous adoption of technologies such as the Internet, the smartphone, social media and the read/write World Wide Web, connecting people at scale to document situations, cooperate on tasks, exchange information, or even simply to play. Existing social processes may be scaled up, and new social processes enabled, to solve problems, augment reality, create new sources of value, and disrupt existing practice. 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 will it 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.