Mapping Local News: An Automated Approach

  • Friday, Oct 09 – 10:30 AM – 11:15 AM ET (14:30 – 15:15 UTC)
  • #ONA20
To access this session, register here for ONA20 Everywhere: ONA20! Already registered? Log into your account.

Join us for a behind-the-scenes look into a machine learning application we built to automatically identify and map locations that appear in local news stories, and see a demo of it applied to published stories from our partners at The Philadelphia Inquirer.

Understanding the geography of a broad set of news stories provides opportunities to identify gaps in coverage and support new product development ideas for a local news audience.

This session is designed for:

  • Newsroom leaders looking to build out their automated tool capabilities
  • Anyone interested in natural language processing and mapping automation
  • Editors who believe in a hyperlocal approach to tech implementation

Speaker

Ana Mendez
Special Projects Editor, Lenfest Local Lab

Moderator

Michael Krisch
Deputy Director, Brown Institute for Media Innovation
browninstituteVisit Website