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Staying together:  Understanding People and Media in Synchronous Connected Systems.
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Staying together: Understanding People and Media in Synchronous Connected Systems.

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  • \n
  • There are many of us, but this is the work of three.\n
  • If you know what these are, good. If not, no problem. Take a note here at the Methods of HTTP…there will be a quiz later. A lot of my research begins with feeling restricted by these words.\n
  • These verbs have us trapped in 1998…oh ya and the anti-flash silliness doesn’t help.\n
  • Transactional. There is MORE to tagging and comments in social media than how we think of it currently as the single browser/site/startup.\n
  • 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. Some tags and notes are added as deep annotation, but that’s rare.\n
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  • Gift giving at its finest\n
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  • So we started looking at classification based on two datasets YouTube and Zync. Each is about 5000 videos (or sessions).\n
  • I come from a strong AI family…so I don’t wanna get too into it…\n
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  • So we started to think about what the data was saying to us…\n
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  • Triangulate between the classifier results, the survey results and the interviews:\n Determine whether the Naïve Bayes classifier or humans are better at determining whether a video belongs to the “comedy” genre.\n Determine if the “ground truth” genre categories provided by the original uploader is reliable.\n
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  • Many People Tweet while they watch tv, many TV shows call for people to follow the twitter stream.\n
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  • Not only of the tweet to the video but the rich data within the tweet.\n
  • So the question is how does a tweet relate to human conversation…does it map to the same patterns?\n
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  • More on this later…but for the few of you that havent used my tool.\n
  • http://www.flickr.com/photos/wvs/3833148925/\n\nThis is a three part talk where I’ll discuss IM, Chatrooms, and Twitter.\n
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  • But I’m not going to talk about SNA today.\n
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  • Some techniques from may be applicable: Wei Hao Lin, Alexander Haputmann: Identifying News Videos ideological viewpoint or bias\n
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  • Will it scale?\n
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  • Conversational Gasp\n
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  • EXPLAIN THIS! The whispers in the background.\n
  • EXPLAIN THIS! The whispers in the background.\n
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  • Scale! Will this scale?\n
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  • Blue is Kanye\n
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  • What’s Monitor suppose to look like? Can we start to prototype protocols for synchronous interaction?\n
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  • “an ambiguous relationship is always the most interesting one.”\nOne painter (A1) liked how the dancers effect was slowly revealed, citing he was comfortable with painting by the time he noticed them. Other audience members enjoyed having performance movement in the crowd\n
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  • Sandy Pentland says a pause can be the best signal of engagement.\n
  • Nol and Christy were Goldie Award winners – one of SF’s most prestigious dance award\n
  • Conversational \n