Filtering and verifying the social media information stream with SwiftRiver

You might have heard of Ushahidi – the open source crisis software, used to map and visualise information as it is happening – but have you heard of their other project, SwiftRiver?

“SwiftRiver is a free and open source platform that helps people make sense of a lot of information in a short amount of time. The SwiftRiver platform was born out of the need to understand and act upon a wave of massive amounts of crisis data that tends to overwhelm in the first 24 hours of a disaster. Since then, there has been a great deal of interest in this tool for other industries, such as news rooms and brand monitoring groups.
In practice, SwiftRiver enables the filtering and verification of real-time data from channels such as Twitter, SMS, Email and RSS feeds. This free tool is especially useful for organizations who need to sort their data by authority and accuracy, as opposed to popularity. These organizations include the media, emergency response groups, election monitors and more. This might include journalists and other media institutions, emergency response groups, election monitors and more.”

The goals of the components in the Swiftriver platform are to:

  • To speed up the process of managing real-time data streams (email, web, sms, twitter)
  • To add elusive context (location, historical data) and history (reputation of sources) to online research
  • To offer a dashboard for monitoring multiple channels of information at once
  • To offer advanced aggregation and analytic tools on or offline
  • To give the user control over advance curation tools and filter

Just like Ushahidi has possible applications outside of humanitarian crisis situations, looking at that list above its pretty obvious that SwiftRiver could also have many useful applications in any situation where you are trying to manage a stream of social media information. Premium access is apparently coming soon. See the site for more information.