Scaling CREDIBLE Content

A Case Study

by Joe Griffin

Co-CEO, iAcquire

We do Scalable Content Marketing

Problem: Finding CREDIBLE Content

Producers at Scale is Tough

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

Okay, How Do We Find These Authors?

Operation Find and Rank Authors

- Round 1 – Low Scale

We Stalked Big Publishers That

Use Google Authorship

Nerdy Data Crawls Millions of

Websites & You Can Search HTML

Example – 55,000 Websites Found Using

the Google Maps API

Blekko Published a WebGrep on

Rel=Author – Top 500 Free

We Created Big Lists of Credible

Authors (like 100,000)

But, We Needed to Judge Their Relative

Proliferation… Because Google Authorship is Becoming “People PageRank”

Necessity is the Mother of Invention

Operation Find and Rank Authors

- Round 2 – Big Scale

We Tapped into Big Data

& Built an Application Big Data + Software Engineering = Scale

The Common Crawl Became a Seed Source

41 Million Domains, 4 Billion Pages and 210 Terabytes

GNIP Served as a Real-Time Engine

Firehoses from Twitter, Tumblr, WordPress, and more…

Example – You Can Pull Up to 2-Years

of Historical Tweets Firehoses from Twitter, Tumblr, WordPress, and more…

We Used Amazon Cloud Search to Create

an Index of the Domains Specifically URL’s that have authorship markup.

We Used GiraPh To Rank The Authors

Facebook Uses Giraph Too

The Result

VoiceGraph™  and VoiceRank™  ™

Follow iAcquire™  and ClearVoice™ for

Tools and Resources

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