Re-​​Reading Web 2.0 Infographics

We love our infograms, don’t we, the digerati, the twit­tering classes? These inform­a­tion graphics, or data visu­al­isa­tions. I don’t think there’s another field of the social sciences quite so keen on com­plic­ated graphs that half-​​explain them­selves and suggest trans­par­ency and half are a subtle appeal to the imagination.

Because these images are machine-​​generated, there’s a tempta­tion to believe that they are trans­parent. That they are mirrors of hard-​​and-​​fast facts. They are not. No image is unme­di­ated nor undesigned. Someone decided to style the inform­a­tion in this way, with this scope and format, these colours and these dimen­sions. And there’s an agenda in that, whether overt or unreal­ised: this is how we visu­alise this stuff and how we want you to visu­alise it, too. They fulfil an ideo­lo­gical function.

For this post about data-​​visualisations, I’m going to focus on the visu­al­isa­tion part of the term (“You can picture it like this“), rather than the data part.

Why are these the images that are selected and why do they look the way they do?

The Connected Web

image

image

These types of images are espe­cially popular. I think that when you sign the applic­a­tion for the International League of Social Media Consultants, you must pledge to include them in every slide deck.

This is what the web looks like, we’re told. The visu­al­isa­tion holds a nod to the Powers of Ten and the Mandelbrot Set, a web of ter­ri­fying com­plexity that will reveal infin­itely more layers of com­plexity the closer you zoom in. This web is far bigger than you know, or can possibly know. They may remind you, too, of the molecular diagrams of complex car­bo­hydrates that you never quite under­stood properly at school.

It looks like this because today’s web is about inter­con­nec­ted­ness, not just in the sense of wires under the streets, but the con­nec­tions of tribes of influ­ence and ulti­mately of every indi­vidual on the web – each of which is subtly dif­ferent (unless, of course, they are not). The colours are inter­esting, too. Note the pre­pon­der­ance of blue (unvis­ited links) and red (alert!) in these pictures.

Why do Web 2.0 present­a­tions nearly always start with this image? Because they need to disabuse you of the notion that the web looks like this:

Google_1242063999416

You don’t need a £1000-​​a-​​day con­sultant for a web with one input box and two buttons, one of which is almost never used. No; under­standing the web requires science beyond your ken and dif­fi­cult Maths.

The Tag Cloud

I’m actually a big fan of tag-​​clouds – as I’ve men­tioned before. I think they encourage explor­a­tion, indi­vidual journeys and also give an instantly under­stood visual fin­ger­print to a site.

So two thumbs-​​up for ones like this:

Simonsays_1242064912799

The ones that I’m less keen on some­times look a bit like this:

image

Or, even worse, like this:

The video shows CNN creating – and then ser­i­ously dis­cussing – a ‘word cloud’ in its ter­min­o­logy, made from President Obama’s press con­fer­ence on March 24. Not a bril­liant starting point. Tag clouds do not provide a lot of analysis for doc­u­ments. They flag up the main topics. They do nothing to estab­lish sen­ti­ment or tone. If Obama’s speech had con­sisted entirely of ques­tions, rather than state­ments, the tag cloud would look exactly the same.

By the way, UK’s Daily Telegraph imme­di­ately copied the idea, to our shame, in order to ‘analyse’ the Chancellor’s budget speech last month:

The Friend Wheel

The Friend Wheel became one of the enduring visual images to try to explain Facebook and the Social Graph – the network’s term for the inter­con­nec­ted­ness of your friends in a social network – and why advert­ising on it will work (click for big).

Friend Wheel for Ian Delaney - Facebook Friend Relationships_1242066286760

What the hell does this show? Well, that my friends on Facebook sit in three broad groups: the green ones are the social media whores – they all know each other as well as me. I’ll probably see them at a London net­working event once a month. The blue ones seem to know each other, but not the greens. They are perhaps spe­cial­ists or old work col­leagues. The pinks are less likely to know the greens and blues – maybe family and friends who came a little later to the network?

What you realise after a while, is that everybody’s friend wheel looks exactly the same. That’s what Facebook is like. People who don’t do the whole social media thing probably won’t have as much of a green crowd, but for them, school friends or people within a large cor­por­a­tion might take their place.

Again, it seems like over-​​complication and sci­en­ti­fic­a­tion of some common sense about what Facebook is like. This, more familiar, view of your friends doesn’t look like you need a spe­cialist firm advising you:

Facebook - Friends_1242067624160

But, oh!, the colours and so many lines!

Last Words

I am not remotely as cynical as this might imply. I remain an enormous fan of data visu­al­isa­tions, despite all of this, and advise a visit to Visual Complexity on a weekly basis to get your fix. But do be alert: don’t forget that this is an art as much as a science. ;-)

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5 comments to Re-​​Reading Web 2.0 Infographics

  • Actually I don’t find too many of those word-​​cloud-​​visualisation-​​type things too useful, even the tag-​​cloud which at least feels like a useful list. I think that for the most part they just look pretty, and moreover they appear to like them­selves for that precise reason.

    I once saw a map of the world showing the intensity of internet access across coun­tries, with levels of access, density of internet traffic and global con­nec­tions glowing with varying degrees of brightness.

    This was for the most part a ‘so what’ kind of map, but it showed one inter­esting thing quite clearly, and that was the gaping internet ‘black holes’ in Saudi Arabia, Tunisia, Iran, Afghanistan, China and several other countries.

  • I’m also excited by the dynamic, realtime reviews of web content that Jonathan Harris produces with his remark­able sites. But quite how they help to actually ‘under­stand’ anything rather than just amuse and stim­u­late us with their tech­nical soph­ist­ic­a­tion and sheer enter­tain­ment value, I remain uncon­vinced. Perhaps the amount of data is too vast, and there is only a vague edit­orial viewpoint.

    Don’t get me wrong though, I love his work! Check him out on TED: http://www.ted.com/index.php/talks/jonathan_harris_tells_the_web_s_secret_stories.html

  • You’re right, Malcolm. And ‘use­ful­ness’ is a criteria that, while not always the most important, shouldn’t really every be forgotten.

    Very pretty and fun, though, as you say.

  • PS. There’s a stark dif­fer­ence between these and the learning role that graphics have in Hans Rosling’s present­a­tions at TED 06 and 07.

  • PS. There’s a stark dif­fer­ence between these and the learning role that graphics have in Hans Rosling’s present­a­tions at TED 06 and 07.

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