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An Open System for Social Computation

An Open System for Social Computation
An Open System for Social Computation
Part of the power of social computation comes from using the collective intelligence of humans to tame the aggregate uncertainty of (otherwise) low veracity data obtained from human and automated sources. We have witnessed a surge in development of social computing systems but, ironically, there have been few attempts to generalise across this activity so that creation of the underlying mechanisms themselves can be made more social. We describe a method for achieving this by standardising patterns of social computation via lightweight formal specifications (we call these social artifacts) that can be connected to existing internet architectures via a single model of computation. Upon this framework we build a mechanism for extracting provenance meta-data across social computations.
IOS Press
Robertson, David
e3624bf2-39c1-4727-824e-48189450e402
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Murray-Rust, David
7f218a32-1ff3-41e5-8496-bd721cee35ef
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Robertson, David
e3624bf2-39c1-4727-824e-48189450e402
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Murray-Rust, David
7f218a32-1ff3-41e5-8496-bd721cee35ef
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4

Robertson, David, Moreau, Luc, Murray-Rust, David and O'Hara, Kieron (2014) An Open System for Social Computation. In, O'Hara, Kieron , Nguyen, M.-H. Carolyn and Haynes, Peter D. (eds.) Digital Enlightenment Yearbook 2014: Social Networks and Social Machines, Surveillance and Empowerment. IOS Press. ,

Record type: Book Section

Abstract

Part of the power of social computation comes from using the collective intelligence of humans to tame the aggregate uncertainty of (otherwise) low veracity data obtained from human and automated sources. We have witnessed a surge in development of social computing systems but, ironically, there have been few attempts to generalise across this activity so that creation of the underlying mechanisms themselves can be made more social. We describe a method for achieving this by standardising patterns of social computation via lightweight formal specifications (we call these social artifacts) that can be connected to existing internet architectures via a single model of computation. Upon this framework we build a mechanism for extracting provenance meta-data across social computations.

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Published date: 2014
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 371943
URI: https://eprints.soton.ac.uk/id/eprint/371943
PURE UUID: 77dd0343-08b4-4364-9002-f6a4fb62a419
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X
ORCID for Kieron O'Hara: ORCID iD orcid.org/0000-0002-9051-4456

Catalogue record

Date deposited: 19 Nov 2014 15:24
Last modified: 20 Jul 2018 00:35

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