We hear a lot about Facebook as a platform for manipulation - using machine learning to bypass our critical faculties and trick us into believing things that are bad for us - but the real show is in Facebook's ability to target, not manipulate.

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People who hold disfavored views struggle to find one another and mobilize. To find other people that feel the same way as you and make common cause with them to effect political change, you have to reveal your views and suffer social sanction.

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Search allows people who hold these views to find one another. If you have a deep feeling about your gender being nonbinary but don't know the words for it, you can search for communities of people who have those words, join them, and discover who you've been all along.

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This is why, in this moment, so many ideas are migrating from the fringe to the center: ideas about racial justice, gender identity, alternatives to market systems, etc. People have harbored these views all along, but have held back on expressing them.

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Being able to express yourself in private, among people who share your views, is a prelude to going public and putting your case to the wider world in hopes of effecting change.

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This goes for ALL disfavored views: not just ones we laud, but also the ones we deplore. Many Americans have nursed secret white supremacism but only whispered about it, because saying it aloud would attract social sanction, with real consequences.

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Search let these people find each other. Having formed groups, they were able to brave social consequences and begin to shout about it. When they did, they converted people who were sort-of racist all along to their cause. "Radicalization" is closely related to "convincing."

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But search isn't the only way that groups with hard-to-find traits can be discovered: there's also targeting. Ad-tech companies spy on us, ascribe traits to us, then sell the right to target those traits to advertisers.

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"Show my ad to midwestern high school cheerleaders"

"To people shopping for a new fridge"

"To the owners of senior dogs"

"To people with diabetes"

"To readers of cyberpunk science fiction novels"

"To people skeptical of Big Tech"

"To Bernie Sanders supporters"

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"To violent, Trump-addled conspiracists plotting insurrection"

https://t.co/Q8lsg2yCXg

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To be fair, the Facebook ads "for body armor, gun holsters, and other military equipment next to content promoting election misinformation and news about the attempted coup at the US Capitol" were probably not necessarily targeted at "coup plotting" per se.

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More from Cory Doctorow #BLM

I've just read one of the most lucid, wide-ranging, cross-disciplinary critiques of cryptocurrency and blockchain I've yet to encounter. 1/


It comes from David "DSHR" Rosenthal, a distinguished technologist whose past achievements including helping to develop X11 and the core technologies for Nvidia.

https://t.co/tkAMShno4k 2/

Rosenthal's critique is a transcript of a lecture he gave to Stanford's EE380 class, adapted from a December 2021 talk for an investor conference. 3/

It is a bang-up-to-date synthesis of many of the critical writings on the subject, glued together with Rosenthal's own deep technical expertise. He calls it "Can We Mitigate Cryptocurrencies' Externalities?"

The presence of "externalities" in Rosenthal's title is key. 4/

Rosenthal identifies blockchainism's core ideology as emerging from "the libertarian culture of Silicon Valley and the cypherpunks," and states that "libertarianism's attraction is based on ignoring externalities."

This is an important critique of libertarianism. 5/
Today's Twitter threads (a Twitter thread).

Inside: Criti-Hype; Right to Repair is back for 2021; The free market and rent-seeking; and more!

Archived at: https://t.co/pXnzoWKJn2

#Pluralistic

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Criti-Hype: Tech bros will settle for "evil genius."

https://t.co/OyiM1vUS8Y

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Right to Repair is back for 2021: Will Apple sabotage this one too?

https://t.co/3gcyEZQWfk

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The free market and rent-seeking: Unauthorized bread and poor doors.

https://t.co/7Ob6AdmkDz

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#10yrsago Diane Duane’s crowdfunded publishing experiment finally concludes https://t.co/qsRnZxiL8b

#10yrsago Inside Sukey, the anti-kettling mobile app https://t.co/puGNKw5XgF

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More from Machine learning

Starting a new project using #Angular? Here is a list of all the stuff i use to launch my projects the fastest i can.

A THREAD 👇

Have you heard about Monorepo? I created one with all my Angular (and Nest) projects using
https://t.co/aY5llDtXg8.

I can share A LOT of code with it. Ex: Everytime i start a new project, i just need to import an Auth lib, that i created, and all Auth related stuff is set up.

Everyone in the Angular community knows about https://t.co/kDnunQZnxE. It's not the most beautiful component library out there, but it's good and easy to work with.

There's a bunch of state management solutions for Angular, but https://t.co/RJwpn74Qev is by far my favorite.

There's a lot of boilerplate, but you can solve this with the built-in schematics and/or with your own schematics

Are you not using custom schematics yet? Take a look at this:

https://t.co/iLrIaHVafm
https://t.co/3382Tn2k7C

You can automate all the boilerplate with hundreds of files associates with creating a new feature.

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