The Like Button Ruined the Internet

In a 2017 interview, Ev Williams (the founder of Twitter), said something that has stuck with me since: “the trouble with algorithms, is that it rewards extremes. Say you’re driving down the road and see a car crash. Of course you look. Everyone looks. The internet interprets behavior like this to mean everyone is asking for car crashes, so it trie... See more

In the late aughts, Twitter and Facebook still valued curiosity, but over the next decade they realized that it wasn't good for business; curiosity brought people to their platforms, but then it whisked them away. So Facebook began paying news companies to make videos that could be hosted on the site, so that users would never leave the page. Twitt

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Our feeds are designed to “prod the would-be attender ever onward from one monetizable object to the next,” he writes. This has had a deadening effect on all kinds of culture, from Marvel blockbusters that optimize for attention minute to minute, to automated Spotify recommendations that push one similar song after another.

Once upon a time, the Internet was predicated on user-generated content. The hope was that ordinary people would take advantage of the Web’s low barrier for publishing to post great things, motivated simply by the joy of open communication. But then ad sales came into play.

That business model is still what most of the Internet relies on today. Rev... See more

The vast interconnection enabled by digital platforms has ended up creating more of a sense of sameness than diversity. Users are subtly guided toward the same subsets of topics, urged on by recommendations that are designed not to serve their interests but to create profitable attention fodder to sell to advertisers. Instagram doesn’t care that yo... See more

There is no end of theories for why the internet feels so crummy these days. The New Yorker blames the shift to algorithmic feeds. Wired blames a cycle in which companies cease serving their users and begin monetizing them. The M.I.T. Technology Review blames ad-based business models. The Verge blames search engines. I agree with all these argument... See more