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That's an interesting initiative. However, aren't you, by definition, using an algorithm to track Twitter usage in order to tailor results?


No. We go through a user's followers by hand; identify common influencers and interests; cross reference these against interesting content from a range of sources. We will eventually look for scalable aspects, however right now we're trying to figure out what works best on an individual level.


Okay. Are you identifying common influencers and interests off the top of your head though, or is that computed somehow?


Right now no. We use intuition to extract these. We're taking notes though!


Good luck then in that case! :)




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