Likeminds – there’s too much noise
Sunday, February 28, 2010 by Stewart Baines
My apprehensions about the #Likeminds social media event was that it would be a love-in among insincere folk selling sincerity services. I couldn’t have been more wrong. Nearly all of the people I met over the course of two days in Exeter were genuine, enthusiastic and passionate about social media.
And I learned a lot from the sessions – about Chris Brogan’s jealous Followers that need regular loving, to Olivier Blanchard’s discovery of disconnected organisations that are listening to social media but unable to channel listening into doing; and debates about the future of journalism, paywalls, bloggers and brand advocates.
And the networking and discourse (a true Socratic symopsium?) at an event like this was far more informative and vibrant than any of the hundreds of technology conferences I have attended in my working life.
But the lasting thoughts that I left with is that of noise and the inability to filter it out. Every moment of the Likeminds event was caught on iphone camera, on Kodak Zi8 and of course the ubiquitous Twitter tap tap tapping. A multiverse of content was generated on this most sociable of days. Ok, as a consumer of this data (rather than producer) I can dip in an out.
But how much juicy content am I missing? Fear of this, and a desperate desire to taste everything, as it happens, means that I am monitoring social media streams 24/7.
It has to stop. The noise has to be filtered out somehow.
The future of publishing, of blogging, of social media, will depend on some way to filter.
I’m thinking about how I can do this with my own work – Futurity produces up to 1000 articles are year, with ideas inspired from a vast array of sources. I need to organise and filter this, and in doing so, capture underlying trends.
When I trained in Futurology (a dumb term, I know), we learned how to think slowly, see real changes behind the vapid. But it’s getting harder to do this since the advent of the social media. So how can we learn to filter?
Your thoughts please?
#stewartbaines











