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SWIFT RIVER
 PLATFORM OVERVIEW




    An Ushahidi Initiative
First response is an oxymoron.
Someone is always there first.
    Rarely is it ever the press.
HAITI EARTHQUAKE
• 20,000 reports in the first few hours
•100,000 reports in the first four days
•Averaged of 25,000 per day...
What if we listened to the crowd?

 What if the crowd was also the filter?

Our problem then becomes who in the
       crow...
How do we manage it all?
The Swift Equation




Accuracy = Authority ≠ Popularity
SWIFT IS THE FILTER
CITIZEN EDITORS

      Text
River ID



                   SiLCC
SULSa


         CORE

         SiCDS
PLATFORM GOALS
•Save time when sweeping through large,
 unstructured datasets.
•Surface signal, suppress noise (irrelevant...
WHAT IS SWIFT FOR?

•   Improving information findability
•   Surfacing content you didn't know you were looking for
•   Au...
Example Use Cases
•   Journalists / Newsrooms (aggregating thousands of feeds)
•   Emergency Response Organizations (aggre...
TERMINOLOGY
•Channels - methods of delivery (email, SMS,
 Twitter, YouTube, RSS/XML etc.)
•Sources - the source producing ...
SwiftRiver Web Services
•   SiLCC - NLP for SMS and Twitter
•   SULSa - Location Services
•   SiCDS - Duplication Filterin...
ROADMAP
• March 31 v0.0.9 Rumba *
    • first deployment
    • proof of concept
• April 30 v0.1.0 Apala *
    • New Core, A...
LOOKING AT BATUQUE
       v.0.2.0
SWIFT RIVER
   swift.ushahidi.com
    sws.ushahidi.com
 swift.ushahidi.com/docs




     An Ushahidi Initiative
SwiftRiver Overview
SwiftRiver Overview
SwiftRiver Overview
SwiftRiver Overview
SwiftRiver Overview
SwiftRiver Overview
SwiftRiver Overview
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SwiftRiver Overview

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Transcript of "SwiftRiver Overview"

  1. 1. SWIFT RIVER PLATFORM OVERVIEW An Ushahidi Initiative
  2. 2. First response is an oxymoron.
  3. 3. Someone is always there first. Rarely is it ever the press.
  4. 4. HAITI EARTHQUAKE • 20,000 reports in the first few hours •100,000 reports in the first four days •Averaged of 25,000 per day •Real-time Reports from around the world •Conflicting statements •From Twitter users, text messages, Email, and Web •Each report verified by humans
  5. 5. What if we listened to the crowd? What if the crowd was also the filter? Our problem then becomes who in the crowd do we listen to?
  6. 6. How do we manage it all?
  7. 7. The Swift Equation Accuracy = Authority ≠ Popularity
  8. 8. SWIFT IS THE FILTER
  9. 9. CITIZEN EDITORS Text
  10. 10. River ID SiLCC SULSa CORE SiCDS
  11. 11. PLATFORM GOALS •Save time when sweeping through large, unstructured datasets. •Surface signal, suppress noise (irrelevant discussions, inaccuracies, duplicates) •Identify relevant sources and rate them •Identify and rate authoritative users •Curate discussion and media around any topic or event •Puts the tools into the user’s hands (think Google Reader vs. Google News)
  12. 12. WHAT IS SWIFT FOR? • Improving information findability • Surfacing content you didn't know you were looking for • Automatically sorting and structuring unstructured data • Understanding media from other parts of the world (translation) • Making urgent data more discoverable • Leveraging eyewitness accounts • Using location as context • Expanding the grassroots reporting network • Preserving information (archiving) • Improving data management within Ushahidi
  13. 13. Example Use Cases • Journalists / Newsrooms (aggregating thousands of feeds) • Emergency Response Organizations (aggregating reports) • Election Monitoring (curating trusted sources) • Research and Information Curation (collecting info from around the web) • Real-Time News Gathering (filter by conditional rules) • Online Brand Monitoring (monitoring keywords)
  14. 14. TERMINOLOGY •Channels - methods of delivery (email, SMS, Twitter, YouTube, RSS/XML etc.) •Sources - the source producing aggregated content •Content Items - individual items coming from sources •Dashboard - the central window for processing the various types of data aggregated by swift
  15. 15. SwiftRiver Web Services • SiLCC - NLP for SMS and Twitter • SULSa - Location Services • SiCDS - Duplication Filtering • River ID - Distributed Reputation • Reverberations - Measures influence of online content
  16. 16. ROADMAP • March 31 v0.0.9 Rumba * • first deployment • proof of concept • April 30 v0.1.0 Apala * • New Core, API, Plugin Architecture • Set up EC2 environment for hosted services • SMS and Email • May 31 v.0.2.0 Batuque * • integrate SiLCC, SULSa • modules for Wordpress • June 30 v0.3.0 Benge • User profiles, SiCDS • July 30 v0.4.0 Bikutsi • Jquery? Tornado for PHP? • River ID • Reverberations • Drupal • August 30 v0.5.0 Jazz • Feed Recommendations • MHI
  17. 17. LOOKING AT BATUQUE v.0.2.0
  18. 18. SWIFT RIVER swift.ushahidi.com sws.ushahidi.com swift.ushahidi.com/docs An Ushahidi Initiative
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