Every day of every year the world of information seems to be accelerating. The amount of content being consumed today is increasing and so is the demand for ‘freshness’. Recency of information is becoming more critical. Today, a week is ancient history; too much can change in a week especially in an industry where profits are tied to timely Information.
News media outlets are struggling to consistently pump out new headline grabbing content to entice users to subscribe to their site. The demand has exponentially increased while the supplier’s (i.e. reporters, journalist) ability to produce has been reached its human limit. What’s the answer?
Artificial Intelligence, specifically Natural Language Generation (NLG) is now being deployed to automatically generate journalistic level content for consumption. In fact, Gartner predicts that, “By 2018, 20% of all business content will be authored by machines.”
A Natural Language Generation (NLG) platform is a conglomeration of sophisticated algorithms arranged to collect, curate and generate coherent text. Today, web tools like Wordsmith and Quill are being used to auto-generate content.
Is it any good? Well, you tell me. Here are two pieces of sports content (New York Times); can you guess which one is human generated and which one is computer generated?
Option A: “Things looked bleak for the Angels when they trailed by two runs in the ninth inning, but Los Angeles recovered thanks to a key single from Vladimir Guerrero to pull out a 7-6 victory over the Boston Red Sox at Fenway Park on Sunday.”
Option B: “The University of Michigan baseball team used a four-run fifth inning to salvage the final game in its three-game weekend series with Iowa, winning 7-5 on Saturday afternoon (April 24) at the Wilpon Baseball Complex, home of historic Ray Fisher Stadium.”
Can you guess which one is which? Scary isn’t it! Natural Language Generation, is no longer science fiction, it is now science fact.
p.s., Option B = Human