Riot rumours: how misinformation spread on Twitter during a time of crisisThe study of sentiment, rumour and counterargument in social media, especially Twitter, is an important one. Understanding amplification is probably, to an extent, being driven by commercial and marketing interest, but the rise of Twitter has consistently been matched by the rise of interesting technologies to try and gather 'Big Data' and apply it.
A period of unrest can provoke many untruths, an analysis of 2.6 million tweets suggests. But Twitter is adept at correcting misinformation - particularly if the claim is that a tiger is on the loose in Primrose Hill
What might be interesting is when we see frameworks develop, into which multiple social networks can be 'plugged'. For instance, the UN are building Hunchworks, "the world's first social network for hypothesis formation, evidence collection, and collective decision-making." It's sentiment analysis by any other name, but are they trying to build a social network to replace Twitter or work under/over it?
In other words, will Big Data analysis tools develop to have a similar relationship with social media as frameworks like Zend, symfony, CakePHP have with PHP itself? The core 'code' is in the social network, but frameworks will be developed to lie over the top and allow the rapid building and prototyping of other networks, datasets and live analysis? Is this already happening?