One signal

Stanford HAI has published “Your ‘For You’ Algorithm Disagrees With You”, arguing that recommendation feeds should do more than reward confrontation or serve users an endless buffet of agreement.

Why it matters

Senior fellow Michael Bernstein says the better target is balance: complementary content that broadens a view without turning every scroll into a tiny culture war. It is a useful prompt for anyone wondering what their feed is optimising for.

Discuss: Should recommendation feeds deliberately introduce perspectives that challenge you, and where should they draw the line?

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