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Great topic here Jeff, @PrimeResponse just returning from #PubCon with some very interesting information on Google quality control practices. It all ties back to the Panda changes of a few weeks ago and the word on the street is actually contrary to normal Google doctrine of macro-algorithmic influences... instead, they are using 1,000s of individuals to review big swaths of content and upgrade or degrade individuals posts and businesses Places Page. The algorithm then observes and learns from this manual intervention. Anyone out there see there CID change? Then change back? There you have an example of manual intervention and usually that happens when companies like Review Boost are used to leave a concentrated # of 5 star reviews laden with non-sensical keywords consumers would never use.Make sense huh? Do you really think Google is going to allow this kind of abuse in the long term?What we all know is Panda loves fresh content... what could be more fresh than legitimate consumer sentiment, left by individuals, form disparate IPs.
Great topic here Jeff, @PrimeResponse just returning from #PubCon with some very interesting information on Google quality control practices. It all ties back to the Panda changes of a few weeks ago and the word on the street is actually contrary to normal Google doctrine of macro-algorithmic influences... instead, they are using 1,000s of individuals to review big swaths of content and upgrade or degrade individuals posts and businesses Places Page. The algorithm then observes and learns from this manual intervention. Anyone out there see there CID change? Then change back? There you have an example of manual intervention and usually that happens when companies like Review Boost are used to leave a concentrated # of 5 star reviews laden with non-sensical keywords consumers would never use.
Make sense huh? Do you really think Google is going to allow this kind of abuse in the long term?
What we all know is Panda loves fresh content... what could be more fresh than legitimate consumer sentiment, left by individuals, form disparate IPs.
