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Newsmap
 
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Description
A treemap visualization algorithm helps display the enormous amount of information gathered by the aggregator. Treemaps are traditionally space-constrained visualizations of information. Newsmap's objective takes that goal a step further and provides a tool to divide information into quickly recognizable bands which, when presented together, reveal underlying patterns in news reporting across cultures and within news segments in constant change around the globe.

Newsmap's objective is to simply demonstrate visually the relationships between data and the unseen patterns in news media.

Google News automatically groups news tories with similar content and places them based on algorithmic results into clusters. In Newsmap, the size of each cell is determined by the amount of related articles that exist inside each news cluster that the Google News Aggregator presents. In that way users can quickly identify which news stories have been given the most coverage, viewing the map by region, topic or time. Through that process it still accentuates the importance of a given article.

Newsmap also allows to compare the news landscape among several countries, making it possible to differentiate which countries give more coverage to, for example, more national news than international or sports rather than business