VIDEO: Computational thinking in data journalism

I’ve written previously about the importance of computational thinking as a technique in data journalism, as well as some examples of that.

In this video — first made for students on the MA in Data Journalism at Birmingham City University and shared as part of a series of video posts — I explain what computational thinking is and how it can improve your ability to work with data as a journalist, with some exercises and examples that help you exercise your own computational thinking.

Links mentioned in the video include Adrian Holovaty’s post A fundamental way newspaper sites need to change; Politifact; and How BuzzFeed News Used Betting Data To Investigate Match-Fixing In Tennis;

Computational thinking challenges can be found here.

This entry was posted in data journalism, online journalism and tagged , , on by .
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About Paul Bradshaw

Paul teaches data journalism at Birmingham City University and is the author of a number of books and book chapters about online journalism and the internet, including the Online Journalism Handbook, Mobile-First Journalism, Finding Stories in Spreadsheets, Data Journalism Heist and Scraping for Journalists. From 2010-2015 he was a Visiting Professor in Online Journalism at City University London and from 2009-2014 he ran Help Me Investigate, an award-winning platform for collaborative investigative journalism. Since 2015 he has worked with the BBC England and BBC Shared Data Units based in Birmingham, UK. He also advises and delivers training to a number of media organisations.

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