As 2018 comes to an end, in an extract from the introduction to Mobile-First Journalism I look at how the past few years have shaped the current face of mobile and social-native journalism — and what that means for its future.
The mood around mobile and social changed dramatically in 2018. To those working in the field, it could sometimes feel like being caught in the crossfire of a battle. Fake news, Russian trolls, concerns over filter bubbles and hoaxes, censorship, algorithms and profit warnings have all shown that the path to mobile-first publishing is going to be anything but an easy one.
Like any new territory, the mobile landscape is being fought over fiercely. But take a step back from the crossfire and you will see that different actors are fighting over different things, in different ways: and there isn’t just one battle — but three. Continue reading →
It’s the 8th year of the awards. This year the “Best data journalism team” category has been divided into two categories: small and large teams, with the “Small newsrooms (one or more winners)” category making way for the change.
In Hungary, not-for-profit news site Átlátszó has launched a full-time data team to create a wide range of data visualisations and data-driven stories. Amanda Loviza spoke to data journalist Attila Bátorfy about his plans to have Átló raise the quality of data journalism in Hungary.
Átlátszó was created in 2011 as Hungary’s first crowd-funded independent investigative news site, with a stated goal of holding the powerful accountable.
Data journalist Attila Bátorfy joined the site two and a half years ago. It was not long before he told editor-in-chief Tamás Bodoky that the site needed a whole separate team to produce higher quality data visualisations. Continue reading →
The latest in my series of FAQ posts follows on from the last one, in response to a question from an MA student at City University who posed the question “Do you think that an increase in algorithmic input is leading to a decline in human judgement?”. Here’s my response.
Does an increase in computation lead to a decline in human input?
Firstly, it’s important to emphasise that the vast majority of data journalism involves no algorithms or automation at all: it’s journalists making calculations, which historically they would have done manually.
You mention the possibility that “an increase in computation leads to a decline in human input”. An analogy would be to ask whether an increase in pencils leads to a decline in human input in art. Continue reading →
The latest in my series of FAQ posts comes in response to questions from a number of MA students at City University who emailed to ask “Can data journalism improve the world?”. Here’s my response, along with some follow-up questions and answers.
Can data journalism improve the world?
I wouldn’t be involved in data journalism if I didn’t think it could improve the world! But more broadly, I think journalism as a whole improves the world, whether that’s data journalism or not. (In fact, the whole reason I got involved in data journalism was because I believed it had the biggest potential to help journalism – particularly investigative journalsm – and, by extension, improve the world.) Continue reading →