‘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. They present mini case studies of three news projects:

  • Los Angeles TimesMachine 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.


Three examples of machine learning in the newsroom
GLOBAL EDITORS NETWORK | March 15, 2018 | by Freia Nahser