What if an online application existed that simply helped people recommend movies, books, services to others. The interface and premise should be really simple: In really big type, two boxes and a submit button:
If you like [.......] you will like [........] [submit]
The database will create the connections and all sorts of interesting visualisations of these pairs would become possible. More importantly, the adjacent connections would also be interesting. In reality, strings of concepts could become connected and help people find content, Web sites, brands – anything really – based on what they like and what the swarm likes.
More and more twitter users are starting to use the hashtag #brandplus or #brandminus to report brand experiences.
There is an opportunity to build a live tracker using the twitter API.
Imagine that the system would take each brandplus and brandminus tweet and then plot them on a map. The more plusses a brand gets the bigger and greener it gets on the map. The more minuses it gets, the bigger and redder it grows based on the net score.
Clearly it would help if users were encouraged to follow some sort of syntax:
#[brandplus or minus] [brandname] [location] [reason]
Potentially a map could be a useful way of representing the data but there might be other ways as well. Users might be given the opportunity to toggle various viewing modes.
