Do you know these guys? They are described as “They are two ornery, disagreeable old men who…despite constantly complaining about the show and how terrible some acts were, they would always be back the following week in the best seats in the house.” Looking at their snark in aggregate, one finds them to be particularly noisy when Fozzie Bear performed. Early last summer, I began to wonder if now-a-days they would be tweeting snark during a show.
Fortunately, people have stepped up to fill the void and tweet while they watch tv. So last year I began investigating people tweeting during live events/performances in order to discover interesting moments, people’s sentiment, what people are talking about, and media segmentation. The Statler prototype embodies most of my findings to date:
The prototype has two modes: Debate 2008 & Inauguration 2009. Based on a sample of tweets from the first debate of 2008, Statler automatically identified 9 topic segments which align to CSPAN’s editorial slices with an accuracy of 93%. You can also see the trending tweets in comparison to top terms from the debate speakers (taken from the closed captioning). For the Inauguration, Statler uses 50,000+ tweets taken from the public timeline to give a more ‘real-time’ feel to how the crowd is moving as the tweets, the tweet structures and terms change over the course of the swearing in and the speech. Of note here is Statler identified the moment of swearing in as the most interesting point during the 30 minute Inauguration video as well as identified the messing up of the oath as something which was conversationally interesting. The latter will not result as a salient term using a conventional vector-space approach.
Feel free to try out the demo and say be sure to say hi if you’re at CSCW. Look for me in the Horizons and Demo programs. If you can’t find me, look for Naaman who has a good line of sight to spot people in the crowd.