Source:Meredith Broussard, Emilia Diaz-Struck and Jeff Ernsthausen
Affiliation:New York University, International Consortium of Investigative Journalists and ProPublica
Has your editor ever asked for a couple of examples? What if you could use machine learning to find some of those examples and investigate a real phenomenon? Join reporters who have used machine learning as a tool in investigative reporting. You’ll hear about how we used machine learning to find patients whose deaths were potentially linked to medical devices; tracked fake news and identified illegal ads on Facebook; investigated potential campaign finance fraud; and did financial muckraking in the tax records of a global financial corporation. We’ll answer important questions like: What is machine learning? What kind of stories could it help with? and What do you need to take into account to get started?