Tweet the DebatesDavid A. Shamma, Lyndon Kennedy, Elizabeth F. Churchill

Internet ExperiencesYahoo! Research

Internet Experiences GroupYahoo! Research

(David) Ayman Shamma Lyndon Kennedy Elizabeth Churchill

Traditional Video

Traditional Comments and TagsLeft in Whole, Unattached.

Some tags can be added as annotationsPost annotations don’t allow for real time commentary.

This part is interesting.

Social Conversations happen around videosWell – actually people join in a session and converse afterwards.

Social and Live PerformanceDJs manage three social networks through group of mediums like: MySpace, Webcasts, Twitter, Facebook, and IM.

Much of Social Media is about CongregationSomething we think about at CHI and CSCW.

(if you are so definition inclined you can enjoy the above paste)

A new form of indirect media-object annotation.中国没有 Twitter

People Tweet While They Watch

@kanye dude, not cool #vmaTweeting while watching offers implicit event annotation…one in need of media reification.

CurrentTV: Hack the Debate

A TWEET

RT: @jowyang If you are watching the debate you’reinvited to participate in #tweetdebate Here is the 411http://tinyurl.com/3jdy67

ANATOMY OF A TWEET

RT: @jowyang If you are watching the debate you’reinvited to participate in #tweetdebate Here is the 411http://tinyurl.com/3jdy67

Repeated (retweet) content starts with RT

Address other users with an @

Tags start with #

Rich Media embeds via links

INDIRECT ANNOTATION

RT: @jowyang If you are watching the debate you’reinvited to participate in #tweetdebate Here is the 411http://tinyurl.com/3jdy67

Sept 26, 2009 18:23 EST

Tweet Crawl

• Three hashtags: #current #debate08 #tweetdebate• 97 mins debate + 53 mins following = 2.5 hours total. • 3,238 tweets from 1,160 people.

– 1,824 tweets from 647 people during the debate.– 1,414 tweets from 738 people post debate.

• 577 @ mentions (reciprocity!)– 266 mentions during the debate– 311 afterwards.

• Low RT: 24 retweets in total– 6 during – 18 afterwards.

Volume of Tweets by MinuteCrawled from the Twitter RESTful search API.

Tweets During and After the DebatesConversation swells after the debate.

Volume of Conversation Follows the Debate

Post debate

Does Conversation follow After a SegmentThink of Isaac Newton

Post Segment?

Will the roots of f’(x) find segmentation markers?

Automatic Segment DetectionWe 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.

Automatic Segment Detection with 92% AccuracyWhen compared to CSPAN’s editorialized Debate Summary ± 1 minute.

Tags As Boundary Objects

Directed Communication via @mentionsJohn Tweets: “Hey @mary, my person is winning!” Makes a directed graph from John to Mary.

Barack, NewsHour, & McCain automatically discovered.High Eigenvector Centrality Figures on Twitter from the First US Presidential Debate of 2008.

Sinks in the networkHigh in degree but poor centrality.

Tweets to TermsCommon stems in bold-italic.

Tweets are Reaction not Content

HCC and MM Findings & Future Work

• Indirect annotation through community action

• Uncollected Sources (read: events) are highly valuable

• Segmentation

• Figure Identification

• Term Distance

• What about Sentiment? Onset? Trends? Sustained Topics?

Argentina v England (1986 FIFA World Cup quarter-final)

Nooo! #worldcup #handEvent Onset!

July 20, 1969 Apollo 11 Moon Landing

omg! @nasa r u kddng? #landing #fake #moonTags as boundary objects can find communities & sets.

Godzilla attacking the Tokyo

やばい！国会議事堂をつぶしている！@radon がんばって！ #gojira

Tweet Content Comprehension Need Not Be Needed.

Statlerhttp://bit.ly/statler

@paulr they are coming #2The midnight ride of Paul Revere

Thanks Chloe S., Ben C.,

Marc S., M. Cameron J.,

Ryan S.!