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Niagarank, presentation IE Master in Digital Journalism

How Niagarank.es works. A news aggretation site curated by robots and based on Twitter realtime news detection. Presentation for the Master in Digital Journalism at IE, Madrid. Jan 2013

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Niagarank




                       Master in Digital Journalism, IE, Madrid, 2013.01.29




                                             Internet Solutions
Azitain Pol 3K
E-20600 EIBAR                             www.codesyntax.com                  1
Tel. (+34) 943821780
Niagarank
                                                     IE – MDJ
                                                     2013.01




Introducing Niagarank

I am Luistxo Fernandez, journalist in another life


Work at CodeSyntax, small and peripheral web
  development company, based in the Basque Country


And we launched Niagarank.es on Jan. 7th


This presentation, sites mentioned, and references at:
Delicious.com/luistxo/mdj
Niagarank
                        IE – MDJ
                        2013.01




Introducing Niagarank

New newssite:
Niagara + Rank
Niagarank
       IE – MDJ
       2013.01




What
Niagarank
                                                     IE – MDJ
                                                     2013.01




What do we do

We follow several thousand Twitter users
We rank users, and we rank the news items that those
  users tweet
The algorithm publishes the most interesting stuff
That process, in 40 subjects, 40 interest channels
Niagarank
                                IE – MDJ
                                2013.01




Example
 One of 40 channels: Política
 7 days of data. Last week.

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Niagarank, presentation IE Master in Digital Journalism

  • 1. Niagarank Master in Digital Journalism, IE, Madrid, 2013.01.29 Internet Solutions Azitain Pol 3K E-20600 EIBAR www.codesyntax.com 1 Tel. (+34) 943821780
  • 2. Niagarank IE – MDJ 2013.01 Introducing Niagarank I am Luistxo Fernandez, journalist in another life Work at CodeSyntax, small and peripheral web development company, based in the Basque Country And we launched Niagarank.es on Jan. 7th This presentation, sites mentioned, and references at: Delicious.com/luistxo/mdj
  • 3. Niagarank IE – MDJ 2013.01 Introducing Niagarank New newssite: Niagara + Rank
  • 4. Niagarank IE – MDJ 2013.01 What
  • 5. Niagarank IE – MDJ 2013.01 What do we do We follow several thousand Twitter users We rank users, and we rank the news items that those users tweet The algorithm publishes the most interesting stuff That process, in 40 subjects, 40 interest channels
  • 6. Niagarank IE – MDJ 2013.01 Example One of 40 channels: Política 7 days of data. Last week.
  • 10. Niagarank IE – MDJ 2013.01 Curation
  • 11. Niagarank IE – MDJ 2013.01 Curation Users detected 12537 Ranked 7213 Followed 5000 Tweets received 887201 Analysed 477271 Original tweets with URLs 97759 Distinct URLs 41603 Published URLs 45
  • 12. Niagarank IE – MDJ 2013.01 Curation In 'Politics', we distill 900k tweets, to produce 45 news items That, x40 times The backend machine, Robsoc: Robotic Social Curation
  • 13. Niagarank IE – MDJ 2013.01 Curation Mass-curation: Digg, Meneame.net, Reddit Entourage curation: The #discover tab of Twitter, Paper.li, Flipboard, main stream at Facebook Niagarank is mass-curation, but 'involuntary', and overcomes the main problems of 'entourage curation': – Building a entourage focused on a subject takes time – Everyone's entourage is varied
  • 14. Niagarank IE – MDJ 2013.01 Origin
  • 15. Niagarank IE – MDJ 2013.01 Origin of Niagarank Umap A detector of all tweets in Basque Nov. 2010. Detected all users, and filtered their tweets by language. It worked while we were few... Then it crashed.
  • 16. Niagarank IE – MDJ 2013.01 Opportunity from failure 1. Need a system to detect the most interesting Basque Twitter users --> Rank 2. Having watched its functioning, a lesson: - Trending topics not so interesting - URLs in half of the tweets, information exchange is the key insight we could extract
  • 17. Niagarank IE – MDJ 2013.01 Opportunity from failure: automated news system in Basque
  • 18. Niagarank IE – MDJ 2013.01 References
  • 19. Niagarank IE – MDJ 2013.01 References
  • 20. Niagarank IE – MDJ 2013.01 Business
  • 21. Niagarank IE – MDJ 2013.01 Business plan Low cost version of Blogging Networks, both b2c and b2b B2c: Make Niagarank a news destination Adsense. Sponsorship. Affiliates (we want to try with books).
  • 22. Niagarank IE – MDJ 2013.01 Business plan Low cost version of Blogging Networks, both b2c and b2b b2b prototypes:
  • 23. Niagarank IE – MDJ 2013.01 Business plan: tailored services Tailored content for news organisations (NewsCred model) Mass-curation for organisations Extracting collective intelligence in the social media Press clippings, social media alerts, damage control, issue monitoring, reaching out to influencers...
  • 24. Niagarank IE – MDJ 2013.01 Business plan: the rank Use the rank for business? The Klout model?
  • 25. Niagarank IE – MDJ 2013.01 Business plan: the rank Use the rank for business? The Klout model? For now, let's use the rank to get meaningful content
  • 26. Niagarank IE – MDJ 2013.01 Business plan: being frugal Max. automation and incremental impact of small improvements. Scalability. Replace journalists by robots... also by editors. As opposed to new Spanish initiatives like Gonzoo, ZoomNews, InfoLibre, no pressroom staff to (under)pay. No pressure, no investors, web development business doing well at CodeSyntax
  • 27. Niagarank IE – MDJ 2013.01 Roadmap
  • 28. Niagarank IE – MDJ 2013.01 The roadmap Improve, improve, improve Reach out to Facebook, Google+, Google Currents Deploy more countries
  • 29. Niagarank IE – MDJ 2013.01 Questions
  • 30. Niagarank IE – MDJ 2013.01 thanks Luistxo Fernandez - LFernandez@codesyntax.com @luistxo - http://www.codesyntax.com

Editor's Notes

  1. 1