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Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
Scaling Credible Content
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Scaling Credible Content

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Learn how iAcquire scaled identification of credible content producers - with credibility being based on authorship proliferation.

Learn how iAcquire scaled identification of credible content producers - with credibility being based on authorship proliferation.

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  • 1. Scaling CREDIBLE Content A Case Study by Joe Griffin Co-CEO, iAcquire
  • 2. We do Scalable Content Marketing
  • 3. Problem: Finding CREDIBLE Content Producers at Scale is Tough
  • 4. Within search results, information tied to verified online profiles will be ranked higher than content without such verification, which will result in most users naturally clicking on the top (verified) results. The true cost of remaining anonymous, then, might be irrelevance. – The New Digital Age by Eric Schmidt, Chairman of Google
  • 5. Okay, How Do We Find These Authors?
  • 6. Operation Find and Rank Authors - Round 1 – Low Scale
  • 7. We Stalked Big Publishers That Use Google Authorship
  • 8. Nerdy Data Crawls Millions of Websites & You Can Search HTML
  • 9. Example – 55,000 Websites Found Using the Google Maps API
  • 10. Blekko Published a WebGrep on Rel=Author – Top 500 Free
  • 11. We Created Big Lists of Credible Authors (like 100,000)
  • 12. But, We Needed to Judge Their Relative Proliferation… Because Google Authorship is Becoming “People PageRank”
  • 13. Necessity is the Mother of Invention
  • 14. Operation Find and Rank Authors - Round 2 – Big Scale
  • 15. We Tapped into Big Data & Built an Application Big Data + Software Engineering = Scale
  • 16. The Common Crawl Became a Seed Source 41 Million Domains, 4 Billion Pages and 210 Terabytes
  • 17. GNIP Served as a Real-Time Engine Firehoses from Twitter, Tumblr, WordPress, and more…
  • 18. Example – You Can Pull Up to 2-Years of Historical Tweets Firehoses from Twitter, Tumblr, WordPress, and more…
  • 19. We Used Amazon Cloud Search to Create an Index of the Domains Specifically URL’s that have authorship markup.
  • 20. We Used GiraPh To Rank The Authors Facebook Uses Giraph Too
  • 21. The Result
  • 22. VoiceGraph™  and VoiceRank™  ™
  • 23. Follow iAcquire™  and ClearVoice™ for Tools and Resources
  • 24. You Stay Classy Manhattan

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