In the quest to design a social reader thats fun and useful, Tyler and I have previously leaned heavily on semantic entity extraction from web feeds. While useful, entity matching APIs are lossy, noisy, and can become expensive very quickly (many thousands of dollars per month). It is our belief that between the creators and curators of content there is more than enough “human intelligence” out there to categorize media. In nearly all instances a knowledgable reader is capable of more precisely tagging content.