‘Machine learning can translate to using algorithms to parse through data, recognise patterns, and then make predictions and assessments based on what the algorithms have learnt’
GLOBAL EDITORS NETWORK notes ways that machine learning can be used in journalism, presenting mini case studies of three news projects:
- Los Angeles Times – Machine learning to uncover skewed crime stats
- New York Times – Shazam-ing members of Congress
- BuzzFeed – In search for ‘spies in the skies’
They also provide checklists for trying a machine learning project. The GEN story is based on a session at the 2018 NICAR conference.