What do TikTok voice, generic “hipster coffee shop” decor, and Taylor Swift and Travis Kelce Super Bowl kissing photos have in common? According to Kyle Chayka, a staff writer at The New Yorker, they’re all products of something called “filterworld,” his word for a “vast, interlocking, and yet diffuse network of algorithms that influence our lives today.” His new book, Filterworld: How Algorithms Flattened Culture, zeroes in on the rise of algorithmic recommendation systems—essentially, the equations that govern the specific pieces of content that social media, streaming, and e-commerce platforms decide to show us, and in what order—and how they’re pushing us toward a kind of cultural homogeneity or sameness.

Kyle joins us to talk about how exactly algorithm recommendation systems produce this sameness, the kinds of culture that rises to the top on the contemporary internet, and the pros and cons of human gatekeeping versus algorithmic curation. Finally, we discuss tactics for escaping algorithmic culture and reclaiming some of our agency as cultural producers and consumers, both individually and collectively.

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