What are the countries most and least vulnerable to conflict as a result of climate change?
How prominent are these countries in the online issue space of climate change and that of its sub-issues (demarcated through their vulnerability indicators)? How does this resonance vary across online issue space, looking at a country’s resonance within climate change on Google.com, Google News, Twitter (set of one year of climate tweets 22 Oct 2012 - 22 Oct 2013), and within UN General Assembly reports on climate change (dating from 2002-2012).
How does the issue imagery of climate change (using Google Image results) address these vulnerability indicators? Do we see adapted or vulnerable landscapes? And is the issue humanized (showing people, animals and landscapes) or quantified (in scientific stats and graphs) in imagery?
How prominent are these countries in the online issue space of climate change and that of its sub-issues (demarcated through their vulnerability indicators)? How does this resonance vary across online issue space, looking at a country’s resonance within climate change on Google.com, Google News, Twitter (set of one year of climate tweets 22 Oct 2012 - 22 Oct 2013), and within UN General Assembly reports on climate change (dating from 2002-2012).
How does the issue imagery of climate change (using Google Image results) address these vulnerability indicators? Do we see adapted or vulnerable landscapes? And is the issue humanized (showing people, animals and landscapes) or quantified (in scientific stats and graphs) in imagery?
World map according to the climate vulnerability ranking of three international Indexes (DARA, German Watch, Gain). The striped countries are considered vulnerable by some indexes and safe by others, indicating the uncertainty in the general climate debate.
For each country the resonance in the various issue spaces (Google, Google News, Twitter and UN documents) is visualized in a ‘resonance bar’. These resonance bars are placed on a footer that is either green (resilient) or red (vulnerable). With Gephi, a network graph is made of all issues and countries, where only the strongest links are retained to position the countries in relation to their ‘ties’ to a sub-issue. The diameter of a sub-issue shows the cumulative resonance of the set of countries for that sub-issue. The relative position of the countries refers to the commitment of a country to a particular issue.
In addition to the quantification of the number of images into the Landscapes, Science, People, Animals, Cartoons, Literature, Metaphors and Other categories, we decided to zoom in on the Landscape imagery, which was translated, visually, into an Issue Landscape comprising panoramic representations of each indicator, grouped according to the subject matter shown in each image.
