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Sep 212009
 

top500_adagecountry

OK in a ‘top list’ mode at moment and browsing the definitive AdAge media and marketing top 1000 I noticed even more than usual, the dominance of the most communicative country on the planet, the US. In fact of the top 500, the US counts for 327 –  so I crunched the numbers and using the wonders of TextWrangler, filtered out leaders from the rest of the world, the other 173 (who write English) . It produced some interesting top tables and results. Who are the other leading countries, opinionated voices, insightful perspectives, top communicators in media and marketing blogs? Which countries are missing? Who are the leading voices in each country? Also would be interesting to look at gender breakdown, individual versus agency or even age of ‘the voice’ for each blog. But will leave that for others – for now, less get ‘national’!

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May 292009
 

ABC Island Second Life Panorama 3000 wide!
While lecturing to AFTRS students last week about multi platform, social media & new forms I got on to games and social virtual worlds. When I asked who knew about Second Life one student chirped up “oh isn’t that the place where ABC TV got bombed”. Now a few things immediately sprung to mind when hearing this comment

  1. Having built the ABC TV Island in 5 days or so and part running it at the time I knew the background to this intimately, so how much detail to go into?
  2. I was also bizarrely running a LAMP residential lab in Tasmania when this event occurred and Lisa Romano then an ABC producer was one of our mentors, she also was in charge of the ABC Island at the time – so very much involved in the response
  3. These events are very rare and my experience was either mostly technical server errors or simple admin error, so the problem was fixed in an hour or so as we immediately liaised with Linden Lab who run Second Life and fixed the problem

But the thing that really sprung to mind was, wow this event was back in May 2007. A two year old story. How and why would it persist so long and into the heads of ‘one so young’ – well mid 20s gen, young in my book :). Then I started to think about the story I used to tell not so long ago to folk who were fascinated by the story of the intriguing ‘ripple’ effect. How a technical error ended up with the CEO of ABC TV being interrogated in government about the act being about anti- Public Service commercialisation combined with terrorism training. This also reminded me forcibly of Laurel Papworth’s Ripple effect and more importantly the Long Tail of an influenced ripple effect – whereby a story is spread like chinese whispers and in some cases enters into folklore and myth – even with endless online interrogation. I also liken this to the Butterfly effect or chain reaction, where a small event can end up causing something far more significant. In this case study below of ABC Island, as you see below, it was more to do with a kind of mass hysteria about the medium of branded virtual worlds & the reflection of that out into real ‘prejudiced’ society. An example of online mass hysteria or clever marketing? You decide.

So here is a glimpse into the Butterfly Effect chronology on 2nd year anniversary of the momentus event 🙂

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Mar 192009
 

Complexity iPhone Camerakit App 22Ever since I joined Twitter (GaryPHayes) I have been fascinated by the subtle ‘etiquette’ of being followed, following and timely updates (as well as the enormous growth and creative potential twitter now affords). It is also interesting watching those traditional media brands and celebrities with a non-twitter and web 2.0 online reputation enter into the fray. What effect do they have? Do they corrupt this young new channel before it has found it’s own feet or is the invasion of old brands and celebs part of its maturation?

Laurel Papworth has far more in-depth coverage of this movement and etiquette across many and various posts on her main blog here but one thing became evident to me as traditional media and celebrities started to ‘infiltate’ Twitter – the instant emergence of old world, short head, long tail distribution. Those brands (individual and companies) already popular in other media on setting up in twitterville started to gain followers like magnets, they swarmed to them – in many cases regardless of what they were tweeting (film and pop stars particularly). We also see old form media channels such as news updates, emerging as useful ‘feeds’ and gaining instant popularity too. Merging with all these are the new stars, traditional bloggers find the transition to micro-blogging easy and so on and so on…

As Twitter has an open API the stats are relatively easy to pull out and there are quite a few sites that do much better analysis than mine below such as TwitterFacts blog, Damon Cortesi and TweetStats. For my little effort below thanks to Twitterholic and its dynamically updated top 1000 (based on followers), I was able to do a quick big picture overview – data taken on the 17 March 2009 !. Before we dig down into the charts themselves a quick high level stat on the Top 1000 tweeters

The top 1000 tweeters have generated 3.45 million tweets and are following 12 million but being followed by 35 million. (note: followers and followings are of course not unique, but the updates/tweets are)

The first chart is what I simply call the  Twitter Long Tail. Starting at the far left with top tweeters CNN Breaking News and Barack Obama at 543k and 486k respectively we move across to the 1000th top tweeter in the world Brad Will with just under 8k followers. I have highlighted a few random tweeters in-between for reference – key thing to note of course is the obvious almost perfect Long Tail shape (I would imagine over time this would smoothe even more – we are still early days)

twit_lt_06

The highlighted selection here include world renowned bloggers Robert Scoble and Darren Rowse (problogger), passionate artistes Imogen Heap and Stephen Fry, TV getting in on the act Ellen Show and Letterman plus trad media and social media folk. It is interesting for example that The Ellen Show Twitter ID appeared on the 16 March and generated around 200 000 followers off the back of one show – sadly there were only a handful of updates and virtually no following back, a poor user experience – traditional media really needs to make sure it doesn’t corrupt these ‘delicate’ new media channels as it so often does and then tells everyone they don’t really work!

While we are on the global view worth noting that adding all the followers up (thats means each persons follower amount) we end up with 35 million (remember that will contain many duplicates). The point though is to demonstrate the short head’ness here where followers are effectively a ‘rating’ (abstract) of popularity.

Of that 35 million totalled followers

  • 55% are in the top 100
  • 67% are in the top 200 and
  • 85% are in the top 500

To demonstrate this rather spookily smoothe long tail curve I removed the top 50 (that have rather exponentially big figures) and looked at the top 50-500. I started to think also here about the number of updates – do updates bring in followers or is it all about pre-twitter trust and reputation – of course its a to be calculated mix of the two of them – but look below at updates and position…
twit_lt_01
I went further down this road and looked at the top 100 and their update distribution – the spikes are named. Fascinating again to see that updates do not equal popularity (OK that’s obvious and I will stop labouring that one) but there is a significant high amount of updates going on the in 13-30 areas – remember though we are looking at the creme-de-la-creme of tweeters here and might be too ‘zoomed in’ for meaningful insight?

twit_lt_02

If your still with me, for reference, here is a quick snapshot of the top 50 World tweeps based purely on following (now you can go and follow them all!). As I keep saying this is not the whole story as we can see – for example CNN following 1 person (is pure broadcast) and Al Gore with only 14 updates (is pure pre-twitter reputation – or 14 amazing world shattering tweets?! – I will go with the former). Of course automated tweeting is rife and there are many in the top thousand who have or are resorting to bots to send messages in their ‘down time’. More after the list…
twit_lt_04

Some time ago I thought a twitter quotient that took into account updates/followings too is important and the chart below is the same top 1000 tweeters now ordered by a Gary algorithm (made famous on Twitter Agency and Laurel’s post of Australian Journalists on twitter), which changes the landscape significantly. Reproduced from my little contribution to twitter agency here.

Here is a little formula I just cooked up called the Tweet-GQ (Tweet Gary Quotient) that works out a Twitter rating. To be considered as a valuable system to be used on top 100s etc. Before I go into explanation, here is the secret formula

( ((Following/3)+Followers) x (Followers/Updates) ) / 10

This takes into account the raw numbers of followers weighted over following. More importantly it then has an critical multiplier – that of how many updates you do in relation to the followers you generate. So simply, it rewards high numbers of followers but also takes into account how many tweets or updates it took you to get that many followers.

To do this yourself without needing a degree in pure math (or an online calculator – to be done by someone). Here is a simple 3 step DIY version.

  1. Divide followings by 3 and then add this to followers – write the number down
  2. Divide followers by updates – write the number down
  3. Multiply the two numbers above and divide by ten – et voila. Your very own TweetGQ

twit_lt_05

Finally and while I am on this twitter topic heres a lovely mosaic of 360 out of my current 1300 followers…seems so insignificant now 🙂 But this shows off the power of open API – each of the faces are clickable and therefore followable – is that a word. Bye for now, see you in the twitterverse.

Get your twitter mosaic here.

Get your twitter mosaic here.

Mar 092009
 

Over the years I have been creating lots of confusing, busy yet at the same time, meaningful and insightful emergent media diagrams. These attempt to help the uninitiated heritage media folk, get to grips with a multiplatform, shifting-social-media-sands, transmogodified entertainment landscape…breathe.

So I have been uploading a bunch of these diagrams onto my flickr account over the past weeks, partly to make them more accessible to me too (oh the joys of the cloud) but with the creative commons tag, for all and sundry to use (attributed of course – the only way to power & fame nowadays – cackles!). Here is a short selection of the 25 or so already up, with brief descriptions – the main bunch is in a set called ‘Emergent Media’ here.

Distributed Story Online

The above diagram is intended to help storytellers simply understand a range of key places to distribute their story fragments or triggers online. I always aim to have x and y axes and here I decided to differentiate these ‘social media services’ by time vs richness. So x axis is ad hoc dip-in-out through to realtime/live and y axis is basic text through to video/games etc: It would be possible to do a quick ‘sketch’ user journey here too by adding sequential numbers to the ‘notes’ one puts in the boxes.

The Ecology of Form

The above is one of my favourite diagrams from way back in early 2006. I normally present this by saying in looking at ‘form’  lets not follow red-herrings by only looking at the content type, or distribution channel, or display – but mostly at the audience and the cross-media form. The arrows there indicate the participatory audience pushing content up to the top and it filtering down onto the three screens – mobile, informational and home (phone, pc, tv ish)

The Myth of Web 2.0 Non-Participation

This was a diagram I threw together at Bangkok airport believe it or not early in 2007  – simply looking at the influence that people have in the sharing web. It is intended to show a whole bunch of ‘indicative’ ideas about the proportional numbers who contribute to web 2.0 through to the influence each category of users have on it – I also invented in my jet-lagged haze five categories, The Creators, The Editors, The Critics, The Sharers and The Consumers. This was discussed here on this blog and heavily dugg too last year.

Media & Platform Convergence

A convergence viewpoint (and yes I know the C word is bad!) But I re-discovered this diagram and the thing that stood out for me was OMG everything seems to be pointing towards the iPhone! Yes games, information, video and telephony all combined into one device…I wonder if Apple nicked this 🙂 But thing that stood out for me was the developments in 100 years from only cinema through to a device you hold in your hand that now combines potentially everthing (to a lesser or greater degree). My original post this is on here Media Journey’s Pt 2

Shared Social Worlds Universe

A relatively recent diagram when I was trying to get my head across ‘shared worlds’. I often get asked about shared worlds being just game worlds (WoW or Second Life) but of course it extends across a whole genre of services online. I didn’t include the shared worlds of email/forums/twitter etc etc but concentrate on worlds specifically aimed at stories or games for this particular chart. The ubiquitous x and y axes here are about x – physical to digital 3D and y – Functional to Game. It is therefore easy to map ‘real life’ at bottom left as physical/functional while top right digital and game as being the traditional MMORPG.

Social-Media-Campaign

Finally couldn’t post diagrams without a very recent one I did with the wondrous and exquisite Laurel Papworth which merges the above thinking with how to promote and reach out across the vast landscape of social media. Here is a description from the flickr photo that has already had 1600 views or so.

By Gary Hayes and Laurel Papworth – From a presentation I gave at SPAA Fringe on Saturday 25 Oct 2008 in Sydney. Concepts behind this covered in the slides embedded on www.personalizemedia.com/the-future-of-social-media-enter…

* INVOLVE – live the social web, understand it, this cannot be faked
* CREATE – make relevant content for communities of interest
* DISCUSS – no conversation around it, then the content may as well not exist
* PROMOTE – actively, respectfully, promote the content with the networks
* MEASURE – monitor, iteratively develop and respond or be damned!

As I said there are many more on my flickr account and will be adding another 30 or so old archive ones in the next months.