Meet Deep Dive, the New York Times’ experimental context engine and story explorer
Using an article as a jumping-off point, Deep Dive can create a custom, contextual feed that will allow readers to follow topics in the news.
Deep Dive uses the Times’ massive cache of metadata from stories to go, as the name suggests, deeper into a news event by pulling together related articles. So instead of performing a search yourself within the Times and weeding out off-topic results, Deep Dive would provides readers a collection of stories relating to a topic, based on whatever person, place, event or topic of their choosing. So let’s say you’re interested in protests in Yemen, with Deep Dive you could use an article from nytimes.com as a seed and let the system collect a history of previous items relating to news from the region.
Really interesting tool. When I was in Studio 20, we examined “explainer journalism” in detail. A huge part of an explainer is being able to find the history of the story easily so that you can bring yourself up to date on the issue in the new article.
continue reading at Nieman Journalism Lab
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