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A Visual Backchannel for #parkingday

Visual Backchannel

Marian Dörk1, Sheelagh Carpendale1, Carey Williamson1, Daniel Gruen2
1) Department of Computer Science, University of Calgary and 2) IBM Research

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The Visual Backchannel interface allows you to track and explore ongoing conversations on Twitter around Park(ing) Day using the #parkingday hashtag. It consists of five main components: Topic Streams, People Spiral, Image Cloud, filters, and post list.

Topic Streams represent topical development over time. The wider a stream at a given time point indicates more tweets containing this topic. Using the buttons above or your mouse/trackpad you can pan and zoom with the visualization and change the time window. Clicking on a stream activates its topic as a filter.

Backchannel participants are shown in the People Spiral ordered by their activity. Dots represent relative level of activity per person. The ratio of orginal vs retweeted content is indicated by the saturation of labels and dots.

Photos posted are shown in the Image Cloud , which can be thought of as a tag cloud for images. Photos that have been posted multiple times, are displayed in a larger size. Click on a photo to see a detailed version. Photos are aggregated from Twitpic, Plixi, and yfrog.

Filters indicate whether a topic or participant has been activated as a filter. You can also filter out retweets and apply text search.

A chronologicaly ordered post list displays the latest tweets for the current time window and filters.

If you have any problems or questions, please, write us an email.

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