Automatically sort text or images with machine-learning.
- Got too much text to read, or too many images to dig through? Make the computer do it, by teaching by example.
- We’ll sort images into categories like “has a bike or doesn’t have a bike” or “is a hog farm or isn’t a hog farm”.
- We’ll sort text into buckets like “is about gun control, environmental policy or immigration”.
- The goal isn’t for the computer to make uncheckable conclusions you’ll rely on in a story, but an easily-checkable conclusion to transform a boring week-long slog into a few hours of data labelling, some coding and a little bit of waiting.
- You’ll leave with two hands-on examples and working code you can adapt for your own projects, but also intuitions about what the AI’s output means to us as journalists.
More training on Reporting & Writing:
Reporters toolkit for search
Use this tool to track and visualize search trends on Google. You can compare terms or sub-topics, and use the tool to compare keywords you can use in SEO tags and headlines. The comparison graphics, maps and list are easy to embed and share.
News values and judgment
We tackle the fundamentals of what makes a story newsworthy, the essential practices of journalists and the shared values that differentiate journalism from other forms of content and storytelling.
Improving our relationship with readers
A primer on the the audience funnel. First, we will do an audience health checkup and what we can do to help move readers through the loyalty funnel. Then we explore what a reader NEEDS from our content – and making sure we deliver.
Reporting with Pinpoint
Learn how to probe through millions of documents, including audio, video, PDFs and more, to find patterns or that proverbial needle in a haystack. You’ll see case studies of how Gannett journalists have used this software to break big investigative stories.