Tag Archives: NLG

AI in investigative journalism: mapping the field

screenshots of various examples of AI being used in journalism, including Serenata de Amor, Leprosy of the Land and The Implant Files

Investigative journalists have been among the earliest adopters of artificial intelligence in the newsroom, and pioneered some of its most compelling — and award-winning — applications. In this first part of a draft book chapter, I look at the different branches of AI and how they’ve been used in a range of investigations.

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VIDEO: How to plan an investigation or large editorial project

Planning an investigation, or any larger editorial project, raises its own particular challenges — but if you know where to look, you can find resources that are especially useful in anticipating and tackling those.

This video, made for students on the MA in Data Journalism at Birmingham City University, introduces and explores two such resources: Mark Lee Hunter‘s story-based inquiry method; and breaking down an investigation into five roles; . It also touches on issues to consider in undercover reporting or the use of subterfuge.

Further video clips of Mark Lee Hunter and Luuk Sengers are embedded below:

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VIDEO: How automation played a central role in data journalism — and is now playing it again

Automation was key to the work of data journalism pioneers such as Adrian Holovaty — and it’s becoming increasingly central once again. This video, made for students on the MA in Data Journalism at Birmingham City University, explores the variety of roles that automation plays in data journalism; new concepts such as robot journalism, natural language generation (NLG) and structured journalism; and how data journalists’ editorial role becomes “delegated to the future” through the creation of algorithms.

You can find the video about Poligraft, and the FT on robot journalism at those links.

This video is shared as part of a series of video posts.