Week 3 Readings

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  • Dörk, M., Gruen, D., Williamson, C. and Carpendale, S. 2010: A Visual Backchannel for Large-Scale Events. IEEE Transaction on Visualization & Computer Graphics 16, 1129-1138. {IEEE Xplore library through our library} This is a non-geographic paper focused on advanced information visualization strategies for making sense out of streaming microblog data. Thus, it is not really a visual analytics paper either. The primary thing to focus on here is the various methods to visually signify streaming social media data and to think about how these methods might be applied in a more analytics-oriented system to answer some social science questions. [see: http://mariandoerk.de/visualbackchannel/ ]
  • Hollenstein, L. and Purves, R. 2012: Exploring place through user-generated content: Using Flickr tags to describe city cores. Journal of Spatial Information Science, 21-48. {open source journal} This is an explicitly geographically focused analysis of social media data (Flickr, specifically). The goals are, in part, to demonstrate that it is possible to analyze such data effectively from a geographical perspective and, in part, to (partially) answer a human geographic question about defining vague place references. The methods used might be considered VA, but that the authors don't label that way. Consider potential application of other methods you are aware of to get more out of these data plus other social science questions that might be addressed.
  • Diakopoulos, N., Naaman, M. and Kivran-Swaine, F. 2010: Diamonds in the Rough: Social Media Visual Analytics for Journalistic Inquiry. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2010), Salt Lake City, Utah, USA, 115-122. {IEEE Xplore library - through our library} This is a visual analytics approach to supporting journalistic inquiry using microblog data about political elections. I'm guessing that the political scientists among us will not be satisfied (since the target is supporting journalists not scientists); but focus on what would be needed to apply to questions you are interested in. [http://sm.rutgers.edu/vox]
  • Vieweg, S., Hughes, A., Starbird, K. and Palen, L. 2010: Microblogging during two natural hazards events: what twitter may contribute to situational awareness. Proc. of the 28th Inter. Conference on Human Factors in Computing Systems: ACM, 1079-1088. {ACM Digital Linrary through our library} This paper is only marginally visual analytics (they don't use that term or draw on the literature).  But, it is a representative example of a set of work done by Leysia Palen's research group at Colorado on strategies to leverage twitter for understanding crisis events (and for responding during such events). When reading it, consider whether any of the more sophisticated visual analytics methods you have started to learn about would be applicable and how and/or what new methods would be needed. For the social scientists in the group, think of what social science theories and questions might be relevant. [look up the "tweek-the-tweet" site that Kate Starbird from this group created]


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