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Choosy crowds and the machine age:
challenges for the future of humanities
crowdsourcing
Citizen Humanities Comes of Age: ...
Crowdsourcing in cultural heritage is...
...asking the public to help with tasks that
contribute to a shared, significant ...
Motivations as guidance
People crave:
• satisfying work to do
• the experience of being
good at something
• time spent wit...
Mobiles and tablets
http://familysearch.org/
The growth of platforms
Technology isn't enough
https://www.flickr.com/photos/missouristatearchives/20329587543/
Compete or collaborate?
http://www.hover.com/blog/what-ever-happened-to-webrings/
#party host
https://www.flickr.com/photos/nlireland/5786204856
Choosy crowds
Window shopping
https://www.flickr.com/photos/twm_news/6841092248
Balancing acts
Going off-piste
'...None of the above is ready to send to you as
I have more research to do'
https://www.flickr.com/photos...
Planning a graceful exit
https://www.flickr.com/photos/fylkesarkiv/4545543824
Task ecosystems
http://buildinginspector.nypl.org/
Simple tasks as stepping stones
http://www.fossilfinder.org/
http://www.npr.org/sections/money/2015/05/21/408234543/will-your-job-be-done-by-a-machine
Machine learning
Handwritten text recognition
Transcribing and tagging audio
Robot journalists
http://www.npr.org/sections/money/2015/05/20/406484294/an-npr-reporter-raced-a-machine-to-write-a-news-s...
Flickr's image tagging
The end of stepping stone tasks?
https://www.flickr.com/photos/library_of_congress/
Robots can get it wrong
We won't run out of material soon
https://www.flickr.com/photos/statensarkiver/8975684427
We can go further together
PCF Image Recognition
Help create niche projects
Better task validation
https://www.flickr.com/photos/nationalarchives/4128460122
Personalised feedback
New tasks
http://crowdsourced.micropasts.org/project/photomaskingLunula
Better heuristics
https://www.flickr.com/photos/internetarchivebookimages/14780537354/
Keep learning, keep sharing!
Citizen Humanities Comes of Age: Crowdsourcing
for the Humanities in the 21st Century
King’s ...
Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing
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Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing

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Presentation at Kings Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century, September 2015

Some of these points are discussed in
How an ecosystem of machine learning and crowdsourcing could help you
http://www.openobjects.org.uk/2015/08/ecosystem-machine-learning-crowdsourcing/

How an ecosystem of machine learning and crowdsourcing could help you
http://www.openobjects.org.uk/2014/09/helping-us-fly-machine-learning-and-crowdsourcing/

Published in: Design
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Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing

  1. 1. Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century King’s College London, September 2015 Mia Ridge, Open University @mia_out http://miaridge.com
  2. 2. Crowdsourcing in cultural heritage is... ...asking the public to help with tasks that contribute to a shared, significant goal or research interest related to cultural heritage collections or knowledge. The activities and/or goals should be inherently rewarding.
  3. 3. Motivations as guidance People crave: • satisfying work to do • the experience of being good at something • time spent with people we like • the chance to be a part of something bigger (Jane McGonigal, 2009) State Library of New South Wales https://www.flickr.com/photos/29454428@N08/2880982738
  4. 4. Mobiles and tablets http://familysearch.org/
  5. 5. The growth of platforms
  6. 6. Technology isn't enough https://www.flickr.com/photos/missouristatearchives/20329587543/
  7. 7. Compete or collaborate? http://www.hover.com/blog/what-ever-happened-to-webrings/
  8. 8. #party host https://www.flickr.com/photos/nlireland/5786204856 Choosy crowds
  9. 9. Window shopping https://www.flickr.com/photos/twm_news/6841092248
  10. 10. Balancing acts
  11. 11. Going off-piste '...None of the above is ready to send to you as I have more research to do' https://www.flickr.com/photos/swedish_heritage_board/10207262464
  12. 12. Planning a graceful exit https://www.flickr.com/photos/fylkesarkiv/4545543824
  13. 13. Task ecosystems http://buildinginspector.nypl.org/
  14. 14. Simple tasks as stepping stones http://www.fossilfinder.org/
  15. 15. http://www.npr.org/sections/money/2015/05/21/408234543/will-your-job-be-done-by-a-machine Machine learning
  16. 16. Handwritten text recognition
  17. 17. Transcribing and tagging audio
  18. 18. Robot journalists http://www.npr.org/sections/money/2015/05/20/406484294/an-npr-reporter-raced-a-machine-to-write-a-news-story-who-won
  19. 19. Flickr's image tagging
  20. 20. The end of stepping stone tasks? https://www.flickr.com/photos/library_of_congress/
  21. 21. Robots can get it wrong
  22. 22. We won't run out of material soon https://www.flickr.com/photos/statensarkiver/8975684427
  23. 23. We can go further together
  24. 24. PCF Image Recognition
  25. 25. Help create niche projects
  26. 26. Better task validation
  27. 27. https://www.flickr.com/photos/nationalarchives/4128460122 Personalised feedback
  28. 28. New tasks http://crowdsourced.micropasts.org/project/photomaskingLunula
  29. 29. Better heuristics https://www.flickr.com/photos/internetarchivebookimages/14780537354/
  30. 30. Keep learning, keep sharing! Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century King’s College London, September 2015 Mia Ridge, Open University @mia_out http://miaridge.com

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