Tweet the Debates<br />David A. Shamma, <br />Lyndon Kennedy, <br />Elizabeth F. Churchill<br />Internet Experiences<br />...
Internet Experiences GroupYahoo! Research<br />(David) AymanShamma<br />Lyndon Kennedy<br />Elizabeth Churchill<br />
Traditional Video<br />
Traditional Comments and Tags<br />Left in Whole, Unattached.<br />
Some tags can be added as annotations<br />Post annotations don’t allow for real time commentary.<br />This part is intere...
Social Conversations happen around videos<br />Well – actually people join in a session and converse afterwards.<br />
Social and Live Performance<br />DJs manage three social networks through group of mediums like: MySpace, Webcasts, Twitte...
Much of Social Media is about Congregation<br />Something we think about at CHI and CSCW.<br />(if you are so definition i...
A new form of indirect media-object annotation.<br />中国没有Twitter<br />
People Tweet While They Watch<br />
@kanye dude, not cool #vma<br />Tweeting while watching offers implicit event annotation…one in need of media reification....
CurrentTV: Hack the Debate<br />
a Tweet<br />RT: @jowyang If you are watching the debate you’re<br />invited to participate in #tweetdebate Here is the 41...
Anatomy of a Tweet<br />Repeated (retweet) content starts with RT<br />Address other users with an @<br />RT: @jowyang If ...
Indirect Annotation<br />Sept 26, 2009 18:23 EST<br />RT: @jowyang If you are watching the debate you’re<br />invited to p...
Tweet Crawl<br />Three hashtags: #current #debate08 #tweetdebate<br />97 mins debate + 53 mins following = 2.5 hours total...
Volume of Tweets by Minute<br />Crawled from the Twitter RESTful search API.<br />
Tweets During and After the Debates<br />Conversation swells after the debate.<br />
Volume of Conversation Follows the Debate<br />Post debate<br />
Does Conversation follow After a Segment<br />Think of Isaac Newton<br />Post Segment?<br />
Will the roots of f’(x) find segmentation markers?<br />
Automatic Segment Detection<br />We use Newton’s Method to find extrema outside μ±σ to find candidate markers. Any marker ...
Automatic Segment Detection with 92% Accuracy<br />When compared to CSPAN’s editorialized Debate Summary ± 1 minute.<br />
Tags As Boundary Objects<br />
Directed Communication via @mentions<br />John Tweets: “Hey @mary, my person is winning!” Makes a directed graph from John...
Barack, NewsHour, & McCain automatically discovered.<br />High Eigenvector Centrality Figures on Twitter from the First US...
Sinks in the network<br />High in degree but poor centrality.<br />
Tweets to Terms<br />Common stems in bold-italic.<br />
Tweets are Reaction not Content<br />
HCC and MM Findings & Future Work<br />Indirect annotation through community action<br />Uncollected Sources (read: events...
Argentina v England (1986 FIFA World Cup quarter-final)<br />
Nooo!  #worldcup #hand<br />Event Onset!<br />
July 20, 1969 Apollo 11 Moon Landing<br />
omg! @nasarukddng? #landing #fake #moon<br />Tags as boundary objects can find communities & sets.<br />
Godzilla attacking the Tokyo<br />
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 />
Statler<br />http://bit.ly/statler<br />
Thanks Chloe S., Ben C., Marc S., M. Cameron J., Ryan S.!<br />@paulr they are coming #2<br />The midnight ride of Paul Re...
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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: http://bit.ly/lkoki

Published in: Technology, News & Politics
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  • There is MORE to tagging and comments in social media than how we think of it currently as the single browser/site/startup.
  • These tags and comments are regulated to anchored explicit annotation. This is the problem. Temporally, there is a gap – we cannot leverage these components like we have with photos.
  • Several sites (including YouTube and my own past research) tried to make deep comments prevalent.
  • Enter Twitter. (explain it quickly) With twitter, when something happens and you wanna shout, you tweet.
  • Many People Tweet while they watch tv, many TV shows call for people to follow the twitter stream.
  • (this is a fake tweet)
  • Not only of the tweet to the video but the rich data within the tweet.
  • Some techniques from may be applicable: Wei Hao Lin, Alexander Haputmann: Identifying News Videos ideological viewpoint or bias
  • 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 />http://tinyurl.com/3jdy67<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 />http://tinyurl.com/3jdy67<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 />http://tinyurl.com/3jdy67<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 />http://bit.ly/statler<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 />
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