Have been spending some time thinking about micro content especially within location based activity. I guess what is occupying my mind could be summed up simply as location within location: your at a night club and you want to generate content based on the room, floor or bar you are at for example.

I’ve been thinking about how this can be useful to both users and publishers – within apps such as Foursquare, that generally work at a macro level.

A question that gets raised is what is a location how micro can we go before it stops being useful, or is it down to the users perceived value of the data.

It’s also becoming a general topic in a number of macro data projects we are working in to establish that macro and micro seem to have different audiences. We generally follow content by a number of authors whom we don’t know but, trust, admire, respect, find interesting etc – we consume their macro data, but is it useful to be able to remove their micro data, or at least turn it off at the highest level. Comparatively we are much more interested and intent on consuming micro data from our closest network members.

In platforms where there is a distinct difference between public and private or restricted level data this becomes a powerful requirement.

How best to manage this is throwing up some useful and interesting opportunities in projects at the moment.

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