The Human Algorithm: How Google Ranks Tweets in Real-Time Search

In 2009, Google struck a deal with Twitter, rumored at $15 million, to integrate tweets into keyword related Google searches. And last month, Google also integrated real-time search technology to surface blog posts and news content as they hit the Web – dramatically improving the previous five to 15 minutes its spiders would take to crawl the Web. I should also note that Collecta also offers the ability to search the real-time Web, but its results also include popular networks within the social Web. Between Google and Collecta, Twitter Search is starting to show its age.

The opportunities and benefits of accessing the real-time Web also represent its most notable deficiencies – the ability to truly focus the stream of cascading information into a river of relevance. Companies such as My6Sense are using a form of “digital intuition” to escalate tweets that match our patterns, behavior, and content we read.

We are now staring in the face of a more sophisticated era of real-time search that will further advance, localize and personalize over time. And, everything starts with the experimentation of sophisticated algorithms that filter and rank the content we’re hoping to discover.

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