Journalist and computer scientist Jonathan Stray has posted an interesting breakdown of what he calls “computational journalism”, a kind of parent term for data journalism, visualisation, computational linguistics, communications technology, filtering, research and more.
I’d like to propose a working definition of computational journalism as the application of computer science to the problems of public information, knowledge, and belief, by practitioners who see their mission as outside of both commerce and government. This includes the journalistic mainstay of “reporting” — because information not published is information not known — but my definition is intentionally much broader than that.
Stray has put together a reading list under each sub-header (including our very own ‘How to: get to grips with data journalism‘).
Worth a read.
- #Tip of the day from Journalism.co.uk – computational journalism reading list
- Jonathan Stray: Digital news needs better products, not just emulations of old media
- Nieman Journalism Lab: Are news organisations thinking about linking?
- ReadWriteWeb: Journalism needs data
- Online Journalism Blog: ‘Wolfram Alpha for journalists’