What we talk about when we talk about The Algo

If taste indeed must be deeply felt, requires time to engage with, and benefits from the surprise that comes from the unfamiliar, then it seems that technology could not possibly replicate it, because algorithmic feeds run counter to these fundamental qualities. When recommendation algorithms are based only on data about what you and other platform

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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 “fu

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That all of us are reveling in content slop is an uncomfortable truth. It may be intellectually easier to blame AI as the problem when the issue resides in people and platforms. My double-bind theory argues that attention aggregators have no choice but to allow content that pushes the bounds of social acceptability. Otherwise, engagement moves to a... See more