Much of what many journalists do every day doesn’t involve gathering news.
Just consider the typical process for publishing a story: The reporter reports, writes (or produces) the content, and the editor makes suggestions for revision. Then comes fact-checking and proofreading and other processes focused on polishing the copy. After that are processes geared toward presenting and distributing the story: Selecting a photo, designing art, creating interactives and crafting headlines for social media and the Web that are attuned to search-engine optimization.
But this isn’t the only way. Using “machine learning,” technologists at news outlets around the world are helping newsrooms eliminate extra time-consuming tasks and giving humans more time to do what they do best: reporting the news. And it’s a good thing, too: As significant cuts hit the industry, the need for automation has become more urgent. Read more