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Observing Social Machines Part 1: What to Observe?


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Presentation at SOCM workshop at WWW2013 on Monday 13th May 2013

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Observing Social Machines Part 1: What to Observe?

  1. 1. David De RoureObserving Social Machines Part 1What to Observe?Clare HooperMegan Meredith-LobayKevin PageSégolène TarteDon CruickshankCat De Roure
  2. 2. Some Social Machines
  3. 3. Nigel Shadbolt et al
  4. 4. myExperiment is a Social Machineprotected by the reCAPTCHA Social Machine
  5. 5. SocialMachinesofSpam
  6. 6. Whither the Social Machine?
  7. 7. Whither the Social Machine?
  8. 8. Whither the Social Machine?
  9. 9. What to observe?  Logs Analytics Data findingse.g. Success rateof transcription Social sciences Qualitative study MotivationIndividual andgroup Mixed methods Differences intechnique and scale Unlikely to be an simpletransferable metric
  10. 10. Trajectories
  11. 11. Trajectories... distinguished by purpose
  12. 12. Trajectories... distinguished by purposeTrajectories through Social Machines
  13. 13. Cat De RoureThe Befriending ofRaspberry Tree
  14. 14. • Are the tree, bot and/or dating site Social Machines?• What are their trajectories?• Cyberphysical scenario involving machine-to-machinecommunication without human mediation• Illustrates automatic assembly – unintended butpurposeful• Glimpse of APIs and the service-oriented ecosystem• Bot detection algorithm illustrates observationmechanism (human / automated?)• Machines impersonating people; e.g. people can buytwitter followers, how do they know they’re not bots?The Lessons of the Raspberry Tree
  15. 15.
  16. 16.
  17. 17. Identify EcosystemsWhere Social Machines are1. Interacting and competing with others2. Being designed, born and co-evolving3. Variable in size, purpose, lifetime and intent4. Reflecting the trends towards cyber-physicaland machine-to-machine systems
  18. 18. • The constituent Social Machines and their trajectories• Technologies, humans and their interfaces, includingintersection with physical world• The design processes, and how they correlate withsuccessful machines• Ground rules leading to emergent behaviour– rules by which people abide– rules encoded in design– part of community conduct– grounded in how other Social Machines behaveAnalyse
  19. 19. • Observing SocialMachines Part 2:How to Observe?• Toolkit approach• Embrace otherobservatories• Instrument theecosystemFuture Work
  20. 20. • You are all observers… • Go forth, engage with the machines• Design new ones!• The observatory is really a laboratory• Share the (methodological) toolkit• Report your findings in these workshopsYour mission should you choose toaccept it…
  21. 21. ScholarlyMachinesEcosystemPanel on Wednesday
  22. 22. The Theory and Practice of Social Machines is funded by the UKEngineering and Physical Sciences Research Council (EPSRC) under grantnumber EPJ017728/1 and comprises the Universities of Southampton,Oxford and Edinburgh. See