Machine learning and Natural Language Processing (NLP) are two forms of artificial intelligence that have been used for years within journalism. In this video, part of a series of video posts made for students on the MA in Data Journalism at Birmingham City University, I explain how both technologies have been used in journalism, the challenges that journalists face in using them, and the various concepts and jargon you will come across in the field.

PS: The MA courses at BCU have an open day this month: you can register here.

The examples mentioned in the video include:

• Sky’s royal wedding coverage using image recognition
• Neural networks video
• SRF Data example (note: this uses a Random Forest algorithm, which employs a collection of ‘decision trees’, and is not a decision tree as stated in the video)