impact of social data visualization
31 October 2007

[from Fernanda Viégas at Infovis'07]
Robert Kosara organized a panel entitled “The Impact of Social Data Visualization” where he brought together, for the first time, a set of people involved in the emergent field of social data analysis: Ola Rosling, Brent Fitzgerald, Martin Wattenberg, & myself.
Gapminder, Swivel, and Many Eyes were all represented and each one of us shared our perspective on what it means to democratize visualization, set data free, and increase data understanding around the world. To me, the power of the ideas put forth by the panelists and the energy we got back from the audience questions made it the best session at InfoVis this year.
A revolution was in the air and you could feel it in the room.
[link: eagereyes.org]
emotionally vague survey results span> 2008 presidential election in the blogosphere span> distributions of sport world records span> TerraForm people-based infographic movie span> subway map bathroom tiling span> Mycrocosm personal data graph portal span> Fleshmap crowdsourcing sex span> physical information sculptures span> Ben Shneiderman as interface to infovis span> visual poetry 2007 & 2008 span> wireless wifi strength heatmap span> debategraph debate maps span> John Lennon interview infographic movie span> analogue eco-visualization span>
After a brief exposition by each one of the panelists, the audience started asking questions and that’s when the discussion became interesting. Probably the most controversial points were:
-- data provenance on sites like Many Eyes and Swivel (can you trust the data you see on these sites?)
-- whether it is wise to put sophisticated visualization techniques in the hands of lay users.
In the end of an animated exchange, we argued that setting visualization free is the only way forward and that letting people make mistakes when creating visualizations is the best way for real learning to happen. As far as public data is concerned, critical reading—the ultimate strategy in the age of Wikipedia—is also valid here. We know, for instance, that users on Many Eyes have found errors in sterling, official data sources.
These are exciting times for InfoVis research. So join us in making this social data analysis revolution happen!




