Recommendation Systems

Today most algorithms that recommend or suppress content act purely on the basis of inferred popularity. They look at how much time people spend engaging with a piece of content, and boost it to more people if the numbers look good. The content itself is almost purely a black box. Some algorithms try to classify content with tags like “food” or

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• · Are we being reprogrammed by algorithms? In the last edition, I mentioned a recent tweet-er-xeet post by Twitter founder Jack Dorsey. Jack suggested that we should all be able to choose the algorithm that controls our timelines across social media products. But the underlying premise is more interesting: As social algorithms get far more

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