An Open System for Social Computation

David Robertson, Luc Moreau, Dave Murray-Rust, Kieron O'Hara

Research output: Chapter in Book/Report/Conference proceedingChapter


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.
Original languageEnglish
Title of host publicationDEF YEARBOOK 2014 - Social Networks and Social Machines, Surveillance and Empowerment
EditorsKieron O'Hara, Carolyn Nguyen, Peter Haynes
Number of pages19
ISBN (Electronic)978-1-61499-450-3
Publication statusPublished - 2014


  • social computation


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