Synergies Between Search and Social Metrics

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    Notes on slide 1

    Me: Y! Research after Northwestern, PhD CS, Adjunct at Medill, CMEX @ Ames, Studio Art instructor for 5 years during my BS/MS in AI

    How do people become aware of services and applications, and integrate them into their lives? What are tipping points for awareness and for increased usage?How/when/when do people share knowledge (digital content)?(3) How is the increase in information appliances like smart phones and always-on internet displays in the home and in public spaces changing knowledge sharing and internet service use?

    This goes beyond A+B testing & hill climbing.

    Are they really watching or talking to each other?

    Reciprocity means nothing for core search as we know it

    7 Favorites

    Synergies Between Search and Social Metrics - Presentation Transcript

    1. Synergies BetweenSearch and Social Metrics
      @ mediaX • Stanford University
      David A. Shamma • Yahoo! Research
    2. Internet Experiences Group (IEG)
      Yahoo! Research
    3. Internet ExperiencesYahoo! Research
      Elizabeth Churchill
      M Cameron Jones
      Ayman
    4. IEG Research Areas
    5. IEG Research Areas
    6. Methods
      Experience measurement through method triangulation:
      • Literature/business analysis
      • Site reviews
      • Data visualization
      • Surveys
      • Field studies
      • Prototypes
      • Activity log analysis
      Psychology, Sociology, Anthropology,
      Linguistics, Computer Science, Design
    7. Why are these people here?
      Dolores Park, San Francisco July 2006.
    8. People Like Video
      FIFA World Cup Final 2006.
    9. Legacy Web Video
    10. Legacy Metrics
      • Page Views
      • Playback
      • Tags
      • Links/Embed
      • Favorites
      • Comments
      • People
      • Shares
    11. Yahoo! Zync
    12. What to Collect to measure engagement?
      Type of event (Zync player command or a normal chat message)
      Anonymous hash (uniquely identifies the sender and the receiver, without exposing personal account data)
      URL to the shared video
      Timestamp for the event
      The player time(with respect to the specific video) at the point the event occurred
      The number of characters and the number words typed (for chat messages)
      Emoticons used in the chat message
    13. A Short Movie
    14. Percent of actions over time.
    15. Volume of actions over time.
    16. Chat follows the video!
      CHAT
    17. Social Networks
    18. Boundary Objects
    19. Core Stats (opt-in)
      April 1, 2009 through April 7, 2009 (inclusive).
      3.25 million events (URLs, chat, volumes, pause events).
      24,258 users • 24,506 sessions
      Of these users, 35.29% (μ=2:02, σ= 2:72,σ2= 7:40) of the users engaged in more than one session during that week
      76,762 URLs, 23% shared in more than one session.
      Over 99% of the shared videos came from YouTube.
      Approximately 2% of all the URLs sent within Yahoo! Messenger at-large.
    20. Reciprocity
      43.6% of the sessions the invitee played at least one video back to the session’s initiator.
      77.7% sharing reciprocation
      Pairs of people often exchanged more than one set of videos in a session.
      In the categories of Nonprofit, Technology and Shows, the invitees shared more videos to the initiator (5:4, 9:7, and 5:2 respectably).
    21. What are they doing?
      Dolores Park, San Francisco July 2006.
    22. Now they would be Tweeting!
      Dolores Park, San Francisco July 2006.
    23. People Tweet While They Watch
    24. CurrentTV: Hack the Debate
    25. 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.
    26. 1st Presidential Debate Sampled Tweet Volume over time.
    27. 1st Presidential Debate Sampled Tweet Volume over time.
      CHAT
    28. Video Segmentation
    29. #tags as boundary objects
    30. Hey @newshour!
    31. High Centrality
    32. Topics follow but not aligned
    33. In Search of Social…
      Instrument for Engagement
      Privacy
      Volume of Interaction
      Search for Expression
      Crawling samples
      Re-query for missed data
      Identify pragmatics of the medium
      Twitter can be content free
      Twitter isn't necessarily social
      Find meaningful reciprocity
      Merge Classical Methods with Social Metrics
      Model social interaction as it is represented and beyond
    34. thanks to echu, lyndon, mcjones!
      Fin.
      aymans@acm.org • http://shamurai.com
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