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SOCIAM Book: The Theory and Practice of Social Machines


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SOCIAM all-hands, September, University of Oxford

Published in: Technology
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SOCIAM Book: The Theory and Practice of Social Machines

  1. 1. SOCIAM Book: The Theory and Practice of Social Machines Kieron O’Hara presented at SOCIAM all-hands, Oxford, 20 September 2017
  2. 2. Book Blurb • Social machines are a type of network of people 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 participants 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.
  3. 3. Book Blurb • 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.
  4. 4. Chapter Breakdown • 1. Characterising and classifying social machines • Intro/examples • Building blocks/concept • Classification stuff • Dark social machines • Ecosystems of SMs • SMs and human-to-human communication • Philosophical stuff
  5. 5. Chapter Breakdown • 2. Analysis: understanding social machines • Incentives in crowdsourcing • Social machines/platforms • Experience with Zooniverse • Properties of SMs • Sociograms/sociagrams • Narratives/wayfaring • Participants and their data (e.g. quantified self data in medical context)
  6. 6. Chapter Breakdown • 3. Synthesis: implementing social machines • Design decisions: experience from Zooniverse • LSC • Formality? Sociograms • Incentive engineering/payments/gamification • Managing data – annotation, data citation, scholarly social machines • Web observatory • Scale, federation, coordination (cf. data safe havens)
  7. 7. Chapter Breakdown • 4. Trust: ethics, accountability, provenance and privacy • Provenance • Transparency/X-ray • Provenance models from process models • Data stewardship • Data terms of use • PDSs • Bias in algorithms • Practical steps: ML • Data safe havens • Ethical theories • Mandevillian intelligence (?)
  8. 8. Chapter Breakdown • 5. The future of social machines • IoT • Redecentralisation • Social knowledge machines? • ?
  9. 9. Venue • Favourite is Springer • E.g. Lecture Notes in Social Networks? • comprises volumes covering the theory, foundations and applications of the new emerging multidisciplinary field of social networks analysis and mining. LNSN publishes peer- reviewed works (including monographs, edited works) in the analytical, technical as well as the organizational side of social computing, social networks, network sciences, graph theory, sociology, Semantics Web, Web applications and analytics, information networks, theoretical physics, modeling, security, crisis and risk management, and other related disciplines. The volumes are guest-edited by experts in a specific domain. This series is indexed by DBLP. • Or other suggestions?