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Crowdsourcing metadata
    for audiovisual collections
from free tekst tags to semantic concepts

   Lotte Belice Baltussen – Sound and Vision


           7 December 2011 | DISH
Waisda? What’s that?

  Allows people to annotate
audiovisual archive material in
     the form of a game.
Added value
• Time-related metadata
• Social tagging (bridging the semantic gap)
• Interaction between the archive /broadcaster and the
  public
• Gathering data for further research



• Efficiency?
annotating video takes up to 5 x the length of the video

• New business model?

                                                  4
Project partners pilot

• Netherlands Institute for Sound and Vision
  (project management, content, research)
• KRO (concept, content, PR)
• VU (research within PrestoPRIME)
• Q42 (developer)
Man bijt hond Woordentikkertje
 After evaluation:
 • Improved interface
 • New scoring mechanisms (semantics)
 • New content
 • More feedback
How does it work?




Players choose from
‘channels’ with different
episodes
How does it work?
                      Scoring:
Scoring as filter     • Basic rule – players score
                      points when their tag exactly
                      matches the tag entered by
                      another player within 10
                      seconds
                      • Multiple other scoring
                      mechanisms to create various
                      tag incentives
Evaluation




             Martorrel
Generating a constant flow of traffic is a challenge!
Important: Partners, publicity on external websites with
relevant communities and a large number of visitors.


Example FWAW, in one week:
• Triple # of tags to 160.000
• Double # of registered
players to 362
Outcomes
• Stats
• 340,551 tags added to 604 items, 42,068 unique tags
• 39.134 pageviews, 555 registered players, 10,926 visits
• Average playing time 6min45, 4.287 sessions


• Matches in Waisda?                  • Matches GTAA / Cornetto
Evaluation
av-documentalist
Evaluation
                 av-documentalist
• Tags mostly describe short fragments and are often not very
  specific. They don’t describe a programme as a whole.
• BUT! Can be solved by filtering and mapping free tekst tags
  to existing vocabularies.
• The WNW tags were the most useful and specifc; content
  influences specificity.
• Tags can be used in different ways and the relevance varies
  per user group.
• Documentalists exicted about further development!
Evaluation
Evaluation
Source: Jakob Nielsen’s Alertblog 9 October 2006
‘Fun’
       +
 Competition
       +
   Altruism
       +
   Content
       +
   Reward
       +
       …
       =
Motivation
Waisda?                                    Woordentikkertje
  Months                             8                                          4,5

  Videos                             648                                        2,892

  Players                            2,435                                      689

  Tags – total                       428,832                                    392,860
  Tags – unique                      48,242 (11%)                               43,407 (11%)

  Matches
  • Players     • 156,546 (37%)                                                 • 215,156 (55%)
  • Geo. names* • 6,089 (1,4%)                                                  • 23,142 (5,8%)
  • Persons*    • 107 (0,25%)                                                   • 2,423 (0,6%)

* For Waisda? we looked at unique tags, for Woordentikkertje at the total number of tags
Tips and lessons learned so far
• What are your success criteria?
• How do you define your target users, and
  how do you reach them?
• How do you motivate your target users?

• Read existing reports and literature!
• Keep learning and improving!
And beyond…
Future work

• Open Source version of Waisda?
• Crowdsourcing Olympics
• More research into the added value of tags for
  retrieval (subtitle comparison, tests with
  various end users, more research on linking
  semantically rich sources to tags)
...recommended sources
    blogs, feeds, people

         •   http://museumtwo.blogspot.com/
         •   http://80gb.wordpress.com/
         •   http://themuseumofthefuture.com/
         •   http://www.delicious.com/RuncocoProject/
         •   @ammeveleigh
         •   @archivesopen
         •   @digitalst
         •   @microtask
         •   @mia_out
         •   @museweb
         •   @runcoco
         •   @wittylama
This presentation is partly based on Oomen & Aroyo 2011:
http://www.slideshare.net/PaulaUdondek/crowdsourcing-in-het-cultureel-erfgoed-kansen-uitdagingen
Thanks!
@lottebelice       / lbbaltussen@beeldengeluid.nl

Big thank you to:
B&G: @johanoomen / @mbrinkerink
VU: @laroyo / @McHildebrand

http://blog.waisda.nl
http://woordentikkertje.manbijthond.nl

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Crowdsourcing metadata for audiovisual collections

  • 1. Crowdsourcing metadata for audiovisual collections from free tekst tags to semantic concepts Lotte Belice Baltussen – Sound and Vision 7 December 2011 | DISH
  • 2.
  • 3. Waisda? What’s that? Allows people to annotate audiovisual archive material in the form of a game.
  • 4. Added value • Time-related metadata • Social tagging (bridging the semantic gap) • Interaction between the archive /broadcaster and the public • Gathering data for further research • Efficiency? annotating video takes up to 5 x the length of the video • New business model? 4
  • 5. Project partners pilot • Netherlands Institute for Sound and Vision (project management, content, research) • KRO (concept, content, PR) • VU (research within PrestoPRIME) • Q42 (developer)
  • 6. Man bijt hond Woordentikkertje After evaluation: • Improved interface • New scoring mechanisms (semantics) • New content • More feedback
  • 7.
  • 8.
  • 9. How does it work? Players choose from ‘channels’ with different episodes
  • 10. How does it work? Scoring: Scoring as filter • Basic rule – players score points when their tag exactly matches the tag entered by another player within 10 seconds • Multiple other scoring mechanisms to create various tag incentives
  • 11. Evaluation Martorrel
  • 12. Generating a constant flow of traffic is a challenge! Important: Partners, publicity on external websites with relevant communities and a large number of visitors. Example FWAW, in one week: • Triple # of tags to 160.000 • Double # of registered players to 362
  • 13. Outcomes • Stats • 340,551 tags added to 604 items, 42,068 unique tags • 39.134 pageviews, 555 registered players, 10,926 visits • Average playing time 6min45, 4.287 sessions • Matches in Waisda? • Matches GTAA / Cornetto
  • 15. Evaluation av-documentalist • Tags mostly describe short fragments and are often not very specific. They don’t describe a programme as a whole. • BUT! Can be solved by filtering and mapping free tekst tags to existing vocabularies. • The WNW tags were the most useful and specifc; content influences specificity. • Tags can be used in different ways and the relevance varies per user group. • Documentalists exicted about further development!
  • 18. Source: Jakob Nielsen’s Alertblog 9 October 2006
  • 19. ‘Fun’ + Competition + Altruism + Content + Reward + … = Motivation
  • 20. Waisda? Woordentikkertje Months 8 4,5 Videos 648 2,892 Players 2,435 689 Tags – total 428,832 392,860 Tags – unique 48,242 (11%) 43,407 (11%) Matches • Players • 156,546 (37%) • 215,156 (55%) • Geo. names* • 6,089 (1,4%) • 23,142 (5,8%) • Persons* • 107 (0,25%) • 2,423 (0,6%) * For Waisda? we looked at unique tags, for Woordentikkertje at the total number of tags
  • 21. Tips and lessons learned so far • What are your success criteria? • How do you define your target users, and how do you reach them? • How do you motivate your target users? • Read existing reports and literature! • Keep learning and improving!
  • 23.
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  • 25. Future work • Open Source version of Waisda? • Crowdsourcing Olympics • More research into the added value of tags for retrieval (subtitle comparison, tests with various end users, more research on linking semantically rich sources to tags)
  • 26. ...recommended sources blogs, feeds, people • http://museumtwo.blogspot.com/ • http://80gb.wordpress.com/ • http://themuseumofthefuture.com/ • http://www.delicious.com/RuncocoProject/ • @ammeveleigh • @archivesopen • @digitalst • @microtask • @mia_out • @museweb • @runcoco • @wittylama This presentation is partly based on Oomen & Aroyo 2011: http://www.slideshare.net/PaulaUdondek/crowdsourcing-in-het-cultureel-erfgoed-kansen-uitdagingen
  • 27. Thanks! @lottebelice / lbbaltussen@beeldengeluid.nl Big thank you to: B&G: @johanoomen / @mbrinkerink VU: @laroyo / @McHildebrand http://blog.waisda.nl http://woordentikkertje.manbijthond.nl