Design, Verifying Information and Curating Media
In this article for UX Magazine I review my work in the curation and distillation of real-time news using natural language processing algorithms, distributed reputation and media curation. The result is an open source platform that I hope will be used for more than just brand monitoring, but to actually save lives by surfacing actionable information for emergency response organizations.
Read the full article at UX Magazine:
Information wants to flow and it wants to flow freely and torrentially. Twitter, SMS, email, and RSS offer unprecedented access to information. With all these channels of communication comes a deluge of overwhelming retweets, cross-chatter, spam, and inaccuracies. How do you distinguish signal from noise without getting overwhelmed? Can we somewhat automate the process of filtering content into more manageable portions without sacrificing accuracy and relevance?
These are the exact questions I attempted to answer during the recent earthquakes in Haiti and Chile. As the Director and System Architect of SwiftRiver at Ushahidi, we're working on an open-source software platform that helps journalists and emergency response organizations sift through real-time information quickly, without sacrificing accuracy. These earthquakes, however unfortunate, offered extreme use-cases for testing ideas internally, as small nonprofits and organizations as large as the U.S. State Department were relying on us for verified information.
The approach SwiftRiver takes is to combine crowdsourced interaction with algorithms that weight, parse, and sort incoming content. But before we get to that, let's explore how real-time content is currently delivered and consumed.
Find out more about SwiftRiver at http://swift.ushahidi.com and about my other work at http://appfricalabs.com


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