Journalists with an interest in realtime data should keep an eye on a forthcoming service from DataSift which promises to allow users to access a feed of Twitter tweets filtered along any combination of over 40 qualities.
In addition – and perhaps more interestingly – the service will also offer extra context:
“from services including Klout (influence metrics), PeerIndex (influence), Qwerly (linked social media accounts) and Lexalytics (text and sentiment analysis). Storage, post-processing and historical snapshots will also be available.”
The pricing puts this well within the reach of not only professional journalists but student ones too: for less than 20p per hour (30 cents) you will be able to apply as many as 10,000 keyword filters.
ReadWriteWeb describe a good example of how this may work out journalistically:
“Want a feed of negative Tweets written by C-level execs about any of 10,000 keywords? Trivial! Basic level service, Halstead says! Want just the Tweets that fit those criteria and are from the North Eastern United States? That you’ll have to pay a little extra for.”