Understanding the geographic distribution of newsroom reporting is critical to assessing and improving the reach, inclusivity and utility of news for communities — and to building personalization, community- and service-journalism oriented strategies.
Join this prerecorded case study for a demonstration mapping stories from The Philadelphia Inquirer’s content audit using machine learning and learn more about the value of an automated approach to identifying and mapping locations in news articles.
This session is designed for:
- Newsrooms considering a story locations audit for reporting equity
- Editors and producers interested in providing better, more nuanced coverage of underrepresented communities
- Everyone who sees echoes of community disinvestment in media neglect