How do you feel about the intertwining of computer science with journalism?
Not surprisingly, I’m quite positive about it. I think most industries benefit from being exposed to different practices and ideas, as they make you reevaluate your own habits and assumptions.
That has very much been the case with the influence of computer science on journalism: in many ways data journalism is more open and more collaborative than other parts of journalism, and that has led to some of its best work.
Every year Nic Newman asks a bunch of people for their reflections on the last 12 months and their anticipations for the year ahead. Here’s what I’ve said this year — as always, to be taken with significant doses of salt.
What surprised you most in 2016?
Perhaps the sheer number of significant developments (compare the posts for 2015 and 2014). It was the year when bots went mainstream very quickly, and platforms took further significant steps towards becoming regulated as publishers.
It was a year of renewed innovation in audio. 2016 saw the launch of a number of new audio apps, including Anchor, Pundit, Clyp and Bumpers.fm, as various companies attempted to be the ‘Facebook of audio’. The only problem: Facebook wants to be the Facebook of audio too: at the end of the year they introduced live audio. Continue reading →
Snapchat’s breaking news coverage was one of the most significant developments of 2015
It’s that time again: Nic Newman‘s email has dropped asking various people to do some highly suspect future-gazing (at least I got WhatsApp and the election right last time). Here are my answers to his questions, delivered with suitable scepticism…
What surprised me most in 2015?
What surprised me most in 2015 is the enormous surge in ‘civic tech‘ around the election compared to 2010: coders collaborating to make apps and websites to help people make an informed decision on their vote. Continue reading →
“Data journalism is, basically, any journalism that involves structured data. And when everything is online – from government spending and last month’s weather to music sales, fashion gossip, social network connections and sports performances – that basically means the world is your oyster.”
What are the different types of data journalism?
There are all sorts, from short simple pieces that only fill a few paragraphs to longform investigative pieces or interactive tools. It can relate to getting the data, analysing it, telling the story or making that interactive. Continue reading →