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Resource ID: #1610
Subject: 468
Source: Meredith Broussard, Emilia Diaz-Struck and Jeff Ernsthausen
Affiliation: New York University, International Consortium of Investigative Journalists and ProPublica
Date: 2019

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Description

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?

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