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Tweet the Debates


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From my talk at the Social Media Workshop at ACM MM. Full paper can be found here:

Published in: Technology, News & Politics
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Tweet the Debates

  1. 1. Tweet the Debates<br />David A. Shamma, <br />Lyndon Kennedy, <br />Elizabeth F. Churchill<br />Internet Experiences<br />Yahoo! Research<br />
  2. 2. Internet Experiences GroupYahoo! Research<br />(David) AymanShamma<br />Lyndon Kennedy<br />Elizabeth Churchill<br />
  3. 3. Traditional Video<br />
  4. 4. Traditional Comments and Tags<br />Left in Whole, Unattached.<br />
  5. 5. Some tags can be added as annotations<br />Post annotations don’t allow for real time commentary.<br />This part is interesting.<br />
  6. 6. Social Conversations happen around videos<br />Well – actually people join in a session and converse afterwards.<br />
  7. 7. Social and Live Performance<br />DJs manage three social networks through group of mediums like: MySpace, Webcasts, Twitter, Facebook, and IM.<br />
  8. 8. Much of Social Media is about Congregation<br />Something we think about at CHI and CSCW.<br />(if you are so definition inclined you can enjoy the above paste)<br />
  9. 9. A new form of indirect media-object annotation.<br />中国没有Twitter<br />
  10. 10. People Tweet While They Watch<br />
  11. 11. @kanye dude, not cool #vma<br />Tweeting while watching offers implicit event annotation…one in need of media reification.<br />
  12. 12. CurrentTV: Hack the Debate<br />
  13. 13. a Tweet<br />RT: @jowyang If you are watching the debate you’re<br />invited to participate in #tweetdebate Here is the 411<br /><br />
  14. 14. Anatomy of a Tweet<br />Repeated (retweet) content starts with RT<br />Address other users with an @<br />RT: @jowyang If you are watching the debate you’re<br />invited to participate in #tweetdebate Here is the 411<br /><br />Rich Media embeds via links<br />Tags start with #<br />
  15. 15. Indirect Annotation<br />Sept 26, 2009 18:23 EST<br />RT: @jowyang If you are watching the debate you’re<br />invited to participate in #tweetdebate Here is the 411<br /><br />
  16. 16. Tweet Crawl<br />Three hashtags: #current #debate08 #tweetdebate<br />97 mins debate + 53 mins following = 2.5 hours total. <br />3,238 tweets from 1,160 people.<br />1,824 tweets from 647 people during the debate.<br />1,414 tweets from 738 people post debate.<br />577 @ mentions (reciprocity!)<br />266 mentions during the debate<br />311 afterwards.<br />Low RT: 24 retweetsin total<br />6 during<br />18 afterwards.<br />
  17. 17. Volume of Tweets by Minute<br />Crawled from the Twitter RESTful search API.<br />
  18. 18. Tweets During and After the Debates<br />Conversation swells after the debate.<br />
  19. 19. Volume of Conversation Follows the Debate<br />Post debate<br />
  20. 20. Does Conversation follow After a Segment<br />Think of Isaac Newton<br />Post Segment?<br />
  21. 21. Will the roots of f’(x) find segmentation markers?<br />
  22. 22. Automatic Segment Detection<br />We use Newton’s Method to find extrema outside μ±σ to find candidate markers. Any marker that follows from the a marker on the previous minute is ignored.<br />
  23. 23. Automatic Segment Detection with 92% Accuracy<br />When compared to CSPAN’s editorialized Debate Summary ± 1 minute.<br />
  24. 24. Tags As Boundary Objects<br />
  25. 25. Directed Communication via @mentions<br />John Tweets: “Hey @mary, my person is winning!” Makes a directed graph from John to Mary.<br />
  26. 26. Barack, NewsHour, & McCain automatically discovered.<br />High Eigenvector Centrality Figures on Twitter from the First US Presidential Debate of 2008.<br />
  27. 27. Sinks in the network<br />High in degree but poor centrality.<br />
  28. 28. Tweets to Terms<br />Common stems in bold-italic.<br />
  29. 29. Tweets are Reaction not Content<br />
  30. 30. HCC and MM Findings & Future Work<br />Indirect annotation through community action<br />Uncollected Sources (read: events) are highly valuable<br />Segmentation<br />Figure Identification<br />Term Distance<br />What about Sentiment? Onset? Trends? Sustained Topics?<br />
  31. 31. Argentina v England (1986 FIFA World Cup quarter-final)<br />
  32. 32. Nooo! #worldcup #hand<br />Event Onset!<br />
  33. 33. July 20, 1969 Apollo 11 Moon Landing<br />
  34. 34. omg! @nasarukddng? #landing #fake #moon<br />Tags as boundary objects can find communities & sets.<br />
  35. 35. Godzilla attacking the Tokyo<br />
  36. 36. やばい!国会議事堂をつぶしている!@radonがんばって!#gojira<br />Tweet Content Comprehension Need Not Be Needed.<br />
  37. 37. Statler<br /><br />
  38. 38. Thanks Chloe S., Ben C., Marc S., M. Cameron J., Ryan S.!<br />@paulr they are coming #2<br />The midnight ride of Paul Revere<br />