Reuters’ answer to this problem is a new system called News Tracer, an algorithm that weeds through every tweet (all 500 million of them that go up each day) to sort real news from spam, nonsense, ads, and noise. This way, reporters can get out of the social-media weeds, and spend more time digging deeper into stories.
In development since 2014, reports the Columbia Journalism Review, News Tracer’s work starts by identifying clusters of tweets that are topically similar. Politics goes with politics; sports with sports; and so on. The system then uses language-processing to produce a coherent summary of each cluster. – READ MORE
