The Chicago’s Tribune’s look at deadly Rx drug combinations relied on machine learning.
Reporters teamed up with data scientists who had access to prescription drug data and identified commonly-prescribed meds that could sicken or kill patients. Note: The journalists could not perform the analysis themselves because only the researchers had access to the detailed prescription data.
Reuters used machine learning for its Echo Chamber investigation, which examined the outsized role that a small number of Washington, D.C., lawyers had in getting the U.S. Supreme Court to hear appeals.
Reuters analyzed the text of petitions to the court, which it could access through the affiliated Westlaw court-reporting service.
Here’s a great instance of how journalists can use artificial intelligence (AI) in video storytelling.
China Daily’s Asia Weekly produced this interactive video interview with Nepali trans activist Bhumika Shrestha using IBM Watson AI
Read more about the interview and coding process here.
For its series about sexually-abusive doctors across the United States, the Atlanta Journal Constitution needed to build its own database. No one centralized source collected that information, so reporters scraped state government websites to harvest medical board disciplinary information.
Then reporters applied machine learning to analyze more than 100,000 cases and score each on the probability that sexual abuse had occurred.