MK
@mkay
MK
@mkay
Researchers have found instead that the distribution of attention remains highly unequal across a wide range of digital contexts, ensuring the hypervisibility of a few and the invisibility or near-invisibility of the great majority. The winner-take-all (or winner-take-most) logic, sustained in part by algorithms that ratify and reinforce what is a
... See moreFor one, social-media operators discovered that the more emotionally charged the content, the better it spread across its users’ networks.
What all of these arguments have in common is that very few people engage in them in real life. Sure, you might be privately annoyed at your friend who’s always talking about how great their life is when they drone on about their perfect mornings, and you might rightfully point out when an author has an unsavory past, but it’s unlikely that the su
... See more... people just aren’t meant to talk to one another this mu ch . They shouldn’t have that much to say, they shouldn’t expect to receive such a large audience for that expression, and they shouldn’t suppose a right to comment or rejoinder for every thought or notion either.
It’s that these reactions are so normalized online that they’re almost boring.
It’s only on platforms where controversy and drama are prioritized for driving engagement where we’re rewarded for despising each other.
It’s never felt more plausible that the age of social media might end—and soon.
Social media was never a natural way to work, play, and socialize, though it did become second nature.
The shift began 20 years ago or so, when networked computers became sufficiently ubiquitous that people began using them to build and manage relationships. Social n
... See moreVigorously participatory curatorial subcultures certainly exist, but in practice, they require too much time and energy to have a broad appeal. People enjoy sharing their discoveries with friends, and they may at least occasionally rate and review items. But most people, most of the time, leave the hard work of curation to others — or to algorithm
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