Lessons learned at news:rewired – noise to signal, held at Thomson Reuters HQ on 27 May
IBM’s Visual Communications Lab created a tool that visualizes who’s writing what at the New York Times.
Via the VCL blog:
You begin by performing a search for a topic of interest. Pick a keyword you’re interested, such as “Tsunami”. This will fetch articles containing that term that were written in the last 30 days and build the visualization from them.The above is the result for our search for “journalism.” The results, as explained by the VCL:
Each bubble represents a single human-created tag describing an article. The size corresponds to the overall frequency that specific tag was used to describe articles about your query by labeling a related article.
When you hover over a tag’s bubble you will see the other tags it was used with. The thickness of that connection will imply how frequently that pairing occurred.
You can play with NYT Writes here.
H/T: Flowing Data.
(Source: futurejournalismproject)
