Data Data Hey! Which one is Data Ramone? |
Simon Rogers argues that data journalism draws on the great tradition of punk to celebrate the “anyone can do it” philosophy
This is a chord … this is another …
this is a third. NOW FORM A BAND. So went the first issue of British punk
fanzine, Sideburns, in 1977 in the “first and last part in a
series”. It might be 35 years old, but this will do nicely as a theory of data journalism in 2012. Why? Arguably punk was most important
in its influence, encouraging kids in the suburbs to take up instruments, with
little or no musical training. It represented a DIY ethos and a shake-up of the
old established order. It was a change. Crucial to it was the idea: anyone can
do it.
Is the same true of data
journalism? Do you need to be part of a major news operation, working for a big
media company to be a data journalist? Now is the time to examine this. In May
2010, we published a piece on how journalists would be flooded with a “tsunami of
data”. A few years on and data journalism is part of the fabric of what we, and
many other news organisations do.
What is it? I would say data
journalism incorporates such a wide range now of styles – from visualisation to
long-form articles. The key thing they have in common is that they are based on
numbers and statistics – and that they should aim to get a “story” from that
data. The ultimate display of that story, be it words or graphics, is
irrelevant, I think – it’s more about the process. There are even different
streams now – short-form, quick-and-dirty data visualisations of the kind we do every day on the
Datablog, right through to complex investigations and visualisations such as
our riots data analysis or the kind of projects which made the
shortlist of the Data Journalism Awards, from around the world. So, can we
still say that anyone can do data journalism; in the first and last part in a
series. Would this work?
OK, it lacks a certain 1976
grittiness, but the theory is there. You don’t have to be a developer or a
coder to be a data journalist. We asked our Twitter followers what they
thought. A couple stand out to me: “Maybe everyone can do it, but not everyone
can do it well.” “Like so many other things, done well is a mix of art and
science.” Mutual disregard for shared constructs of authority? Shared overarching
aim of revealing reality away from the facade? But is that enough? The thing
about data journalism is that there are so very many “chords” – just the free
ones could fill several training manuals: Google fusion tables, Tableau, Gephi, OutWit Hub, Google Refine … Can anyone really do it?
Dan Sinker knows about both data
and punk: he heads up the Knight-Mozilla News Technology Partnership and is a former
editor of Punk Planet. He says there are some parallels – with a crucial
difference.
While I agree
with the premise – it’s never been easier to do this stuff than it is right now
– I think there are a few steps beyond just learning three chords when doing data
journalism. For one, Legs [McNeil, who coined the word “punk”] didn’t really say a
band needed to be *good* but I’d like to think we’d require that for data
journalism. The theory goes that the punk bands we remember best are the ones
that were good – but there needed to be a whole lot of kids experimenting and
sounding awful before they got there. For what it’s worth, I like the fact that
there are many just trying stuff out, even if it is forgettable – because some
of it will be amazing.
Data journalism – the great leveller
In fact, data journalism is a great
leveller. Many media groups are starting with as much prior knowledge and
expertise as someone hacking away from their bedroom. Many have, until very
recently, no idea where to start and great groups of journalists are still
nervous of the spreadsheets they are increasingly confronted with. It’s rare
for the news site reader to find themselves as powerful as the news site
editor, but that’s where we are right now – and that power is only increasing
as journalists come to rely more and more on their communities for engagement
and stories. Says Sinker:
Where I think
there are more parallels are in the fact that this is a young community (in
years if not always age), and one that’s actively teaching itself new tricks
every day. That same vitality and excitement that motivated punk, it’s
motivating news hackers right now.
Meanwhile, more and more news teams
are discovering that data equals stories and bulking up their teams. Some would
say it’s just an extension of work they’ve always done, but that’s to ignore
the huge shift in power the web has created. “Some people think that this stuff
is instant,” says Sinker. “Even though there are incredible tools now, there is
still a learning curve.” Out there in the world, there are lots of people who
have just formed a band and got on with it – despite the obstacles.
Take the data team at LaNacion, recently shortlisted for the Data Journalism awards
for their work on transport subsidies. When the team started, it was
sparse, to say the least, says Florencia Coelho.
We had no web
programmer or CAR [computer assisted reporting] people in our newsroom. We gathered
an interactive designer and we self taught Tableau with their free training videos in what we called our
Tableau days, in a Starbucks at a shopping mall in Buenos Aires.
The team is still not exactly huge –
but it is easily the best data journalism site in South
America and one of the most innovative around. It’s not all about
investigative reporting. First, all reporting probably counts as investigative
journalism, but if you want to play semantics, then I will see your
“investigative” and raise you “analytical”. Not all data journalism has to
bring down the government – it’s often enough for it to shine a light in
corners that are less understood, to help us see the world a little clearer.
And if that’s not investigative, what is?
Democratisation of data
There’s a great democratisation of
data going on. Rather than the numbers belonging to the experts, they belong to
all of us – and data journalism is part of that reclaiming of the facts. Even
at the OECD, users’ voices are part of the process, making up the core analysis
that lies at the heart of the Better Life Index on wellbeing. And, just to be
clear – data journalism doesn’t have to mean data visualisation. It is not
about producing charts or intricate graphics – the results of data journalism
just happen to lend themselves to that. Sometimes a story is best told in
images and infographics, other times it works as words and stories. It’s the
ultimate in flexible formats.
But, when it comes to
visualisations, what really comes across from this analysis of Visual.lys most viral infographics is how
sometimes the simplest things can flood the web. Single charts are likely
successful because they are easy to consume; the viewer only needs to learn how
to read one “chunk” of visualisation to get the whole story. Simplicity lends
itself to quick understanding and sharing, whereas complexity can prevent a
viewer from reaching those points. Curiously, mixed charts, which is what we
commonly think of as the typical form of an infographic, is the least
successful here, perhaps because they take more mental work to consume
completely, again pointing to simplicity and brevity as strengths in visual
communication.
As the post points out, however, sometimes
things done messily can still be hits – it’s the information that’s
vital. People are willing to forgive a lack of perfection; they are much less
forgiving for those who get the facts wrong. Data visualisation experts will
always say: allow the data to choose the visualisation, that it’s crucial for
the visualisation to fit the numbers – and not the other way around. That
question equally applies itself to whether something needs a visualisation in
the first place.
As Joe Strummer stressed: People can do anything
Of course, for some people, this will never be journalism. But then, who cares? While they are worrying about the definitions, the rest of us can just get on with it. Punk eventually turned into new wave, new wave into everyday pop and bands that just aren’t as exciting. But what it did do is change the climate and the daily weather. Data journalism is doing that too. In the words of Joe Strummer: People can do anything.
- Simon Rogers is Data Editor at Twitter in San Francisco. He was previously 15 years at the Guardian – and he created its Datablog. He is also the author of Facts are Sacred (Faber and Faber, 2013).
- This article is from a new book DATA JOURNALISM Mapping the Future, edited by John Mair, Richard Lance Keeble with Paul Bradshaw and Teodore Beleaga. It is published by Abramis Academic Publishing.
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