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The Wisdom of the Crowd
through Gamification
Lora Aroyo, Merel van Empel & Carlos Martinez Ortiz
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
massive	
  digital	
  content	
  online	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
needs	
  massive	
  resources	
  to	
  process	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
crowdsourcing	
  –	
  interpreta5on	
  at	
  scale	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
paid	
  crowdsourcing	
  solves	
  only	
  part	
  …	
  
there	
  are	
  massive	
  niches	
  of	
  experts	
  online	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
but	
  they	
  need	
  to	
  be	
  engaged	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
gamifica5on	
  is	
  the	
  answer	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
•  entertaining	
  
•  compe--ve	
  
•  quick	
  
•  s-cky	
  
•  targeted	
  campaigns	
  
•  effec-ve	
  engagement	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
games	
  with	
  a	
  purpose	
  (GWAP)	
  
Winner EuroITV Competition
Best Archives on the Web Award
h7p://waisda.nl	
  
Video Tagging – time-stamped tags
Image Tagging – understanding & training crowds
h7p://annotate.accurator.nl	
  
Nichesourcing domain expertise
diversity	
  of	
  opinions	
  from	
  the	
  crowd	
  
mul-tude	
  of	
  contexts	
  
collected	
  in	
  a	
  decentralized	
  way	
  
independent	
  interpreta5ons	
  
aggregated	
  view	
  –	
  the	
  big	
  picture	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
understanding	
  perspec5ves	
  
a	
  new	
  approach	
  to	
  understanding	
  seman5cs	
  
harnessing	
  the	
  power	
  &	
  diversity	
  of	
  the	
  crowd	
  
	
  
harnessing	
  disagreement	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
CrowdTruth.org	
  
informs	
  a	
  vector	
  space	
  model	
  of	
  truth	
  	
  
instead	
  of	
  a	
  boolean,	
  fuzzy	
  or	
  sta-s-cal	
  model	
  
	
  
disagreement	
  is	
  signal	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
CrowdTruth.org	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
CrowdTruth.org
http://game.CrowdTruth.org
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
h7p://game.crowdtruth.org	
  	
  
•  Games engage niche crowds - effective in filling the gap of
expert annotations in traditional crowdsourcing
•  Annotator disagreement is signal, not noise:
•  indicative of the variation in human semantic
interpretation of signs
•  can indicate ambiguity, vagueness, similarity, over-
generality, etc, as well as quality
•  Data analysis challenges
Take Home Message
h7p://game.crowdtruth.org	
  	
  
CrowdTruth	
  Team:	
  Lora	
  Aroyo,	
  Chris	
  Welty	
  	
  Robert-­‐Jan	
  Sips,	
  Carlos	
  
Mar5nez	
  Or5z,	
  Anca	
  Dumitrache,	
  Oana	
  Inel,	
  Benjamin	
  Timmermans,	
  
Susanna	
  van	
  de	
  Ven,	
  Merel	
  van	
  Empel,	
  Jelle	
  v.d.	
  Ploeg,	
  Ta-ana	
  Cristea,	
  
Khalid	
  Khamkham,	
  Harrië7e	
  Smook,	
  Rens	
  van	
  Honschooten,	
  Arne	
  Rutjes	
  
CrowdTruth.org
github.com/CrowdTruth
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
CrowdTruth.org
http://game.CrowdTruth.org
massive	
  crowdsourcing	
  in	
  cultural	
  heritage	
  …	
  
http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

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