Reuters Built An Algorithm That Can Identify Real News On Twitter

Reuters has built an algorithm called News Tracer that flags and verifies breaking news on Twitter. The algorithm weeds through all 500 million tweets that are posted on a daily basis to “sort real news from spam, nonsense, ads, and noise,” writes Corinne Iozzio via Popular Science: 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. What differentiates News Tracer from other popular monitoring tools, is that it was built to think like a reporter. That virtual mindset takes 40 factors into account, according to Harvard’s NiemanLab. It uses information like the location and status of the original poster (e.g. is she verified?) and how the news is spreading to establish a “credibility” rating for the news item in question. The system also does a kind of cross-check against sources that reporters have identified as reliable, and uses that initial network to identify other potentially reliable sources. News Tracer can also tell the difference between a trending hashtag and real news. The mix of data points News Tracer takes into account means it works best with actual, physical events — crashes, protests, bombings — as opposed to the he-said-she-said that can dominate news cycles.

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