As tweets/txts/social feeds and other microcommunications take a larger share of the new media landscape, it’s hitting a utility wall. Some issues to solve:
How do you make big decisions from microdata?
Right now, everyone seems focused on real-time search with some component of qualitative measures on individual tweets.
How do you tie microdata to “macro” memory?
Tweets are great for reporting but not for analysis or growth – the best content producers tend to spend the most time composing their communications and linking it to historical information. Reading a book is almost always a better choice than spending time on Twitter. Unless this public stream of consciousness is a precursor of singularity it is severely flawed.
With microcommunication platforms amplifying all signals, spam is becoming increasingly problematic – how is this managed?
Right now, filters are generally based on peer networks, but peer networks are only 1 dimension of the social space (another, more valuable one being interest networks) – and peer networks on permeable (API-enabled) platforms are easily infiltrated (via bots).