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The digital traces of user generated content

  1. THE DIGITAL TRACES OF USER-GENERATED CONTENT: HOW SOCIAL MEDIA DATA MAY BECOME THE HISTORICAL SOURCES OF THE FUTURE LIBRARY OF CONGRESS, MAY 14TH, 2015 DR. KATRIN WELLER GESIS – LEIBNIZ-INSTITUT FÜR SOZIALWISSENSCHAFTEN JOHN W. KLUGE FELLOWSHIP IN DIGITAL STUDIES, LIBRARY OF CONGRESS WWW.KATRINWELLER.DE ● KATRIN.WELLER@GESIS.ORG ● @KWELLE
  2. 2
  3. 3 SERIOUSLY? DO THEY NOT REALIZE THAT 99% OF TWEETS ARE WORTHLESS BABBLE THAT READ SOMETHING LIKE ‘JUST WOKE UP. GOING TO STARBUCKS NOW. GETTING LATTE.’ READER’S COMMENT FOUND IN THE COMMENT SECTION FOR GROSS, D. (2010, APRIL 14). LIBRARY OF CONGRESS TO ARCHIVE YOUR TWEETS. CNN. RETRIEVED FROM HTTP://EDITION.CNN.COM/2010/TECH/04/14/LIBRARY.CONGRESS.TWITTER/, RETRIEVED NOVEMBER 19. PHOTOS: HTTPS://WWW.FLICKR.COM/SEARCH/?TEXT=COFFEE&LICENSE=4%2C5%2C6%2C9%2C10
  4. SOCIAL MEDIA AND USER-GENERATED CONTENT 4
  5. 5 2006
  6. 6 2011
  7. 8 WORTHLESS BABBLE? POINTLESS BABBLE? Kelly, R. (2009). Twitter Study. Pear Analytics, retrieved from http://www.pearanalytics.com/wp- content/uploads/2012/12/Twitter-Study-August-2009.pdf
  8. BUT… 9
  9. 10 INFORMATION ABOUT EVERYDAY LIFE
  10. https://twitter.com/BarackObama
  11. SOCIAL MEDIA IS AFFECTING DISCOURSES AND EVENTS 12
  12. #egypt #gezi #furgeson #jesuischarlie #occupy #qldfloods #royalwedding #olympics #election2012 …
  13. (SOCIAL MEDIA USERS INTERACTING WITH HISTORICAL SOURCES/PLACES) 14
  14. 15 SOCIAL MEDIA VS. TRADITIONAL SOURCES
  15. 16 SIMILAR CONTENT http://asp.tacticalgear.com/
  16. 17 SIMILAR CONCEPTS http://storycorps.org/ Oral History vs. Crowdsourcing?
  17. NEW FORMATS 18
  18. 19 NEW MODES OF ANALYSIS
  19. 20 Paul Butler, Data: Facebook. Imagage: https://www.facebook.com/note.php?note_id=469716398919
  20. Miguel Rios (Twitter) Data: Twitter http://chronicle.com/blogs/wiredcampus/this-is-what-a-sabbatical-at-twitter-looks-like/31498 See also: https://blog.twitter.com/2012/euro-2012-recap
  21. Graphs by: Cornelius Puschmann Data: Twitter Puschmann, C., Weller, K., & Dröge, E. (2011). Studying Twitter conversations as (dynamic) graphs: visualization and structural comparison. Presented at General Online Research, 14-16 March 2011, Düsseldorf, Germany. http://ynada.com/posters/gor11.pdf.
  22. SOCIAL MEDIA VS. SOCIAL MEDIA 24
  23. FORMATS 25 https://blog.twitter.com/2015/now-on-twitter-group-direct-messages-and-mobile-video-capture
  24. IMMEDIATENESS 26
  25. IMMEDIATENESS 27 http://twitpic.com/135xa
  26. IMMEDIATENESS 28 http://en.wikipedia.org/wiki/US_Airways_Flight_1549
  27. IMMEDIATENESS 29 http://en.wikipedia.org/w/index.php?title=US_Airways_Flight_1549&action=history
  28. USER‘S MOTIVATION 30
  29. USER‘S MOTIVATION 31
  30. AVAILABILITY 32
  31. AVAILABILITY 34 http://politwoops.sunlightfoundation.com/tweet/595702073062256640 http://sunlightfoundation.com/blog/2015/05/08/deletes-of-the-week-dont-automate-tweets-write-them/
  32. 35 TOP CHALLENGES FOR HISTORIANS AND LIBRARIES
  33. d DARK AGES? 36
  34. LOST FOREVER? 37
  35. LOST FOREVER? 38
  36. LOST FOREVER? 39
  37. 40 https://web.archive.org/web/20100320132227/http://twitter.com/librarycongress
  38. d DIGITAL DIVIDE 41
  39. d TIP OF THE ICEBERG? 43
  40. THANK YOU!
  41. QUESTIONS? YES, PLEASE! Slides are available at: http://slideshare.net/katrinweller/ Coming soon: Weller, K. (2015). The digital traces of user-generated content: How social media data may become the historical sources of the future . To appear in Managing Digital Cultural Objects: Analysis, Discovery, Retrieval”, edited by Pauline M. Rafferty and Allen Forster. 45 @kwelle ● katrin.weller@gesis.org ● http://katrinweller.net
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