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.

1/

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.

2/
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.

3/
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.

4/
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.

5/
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.

6/
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."

7/
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.

8/
"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"

9/
"To violent, Trump-addled conspiracists plotting insurrection"

https://t.co/Q8lsg2yCXg

10/
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.

11/

More from Cory Doctorow #BLM

More from Machine learning

This is a Twitter series on #FoundationsOfML.

❓ Today, I want to start discussing the different types of Machine Learning flavors we can find.

This is a very high-level overview. In later threads, we'll dive deeper into each paradigm... 👇🧵

Last time we talked about how Machine Learning works.

Basically, it's about having some source of experience E for solving a given task T, that allows us to find a program P which is (hopefully) optimal w.r.t. some metric


According to the nature of that experience, we can define different formulations, or flavors, of the learning process.

A useful distinction is whether we have an explicit goal or desired output, which gives rise to the definitions of 1️⃣ Supervised and 2️⃣ Unsupervised Learning 👇

1️⃣ Supervised Learning

In this formulation, the experience E is a collection of input/output pairs, and the task T is defined as a function that produces the right output for any given input.

👉 The underlying assumption is that there is some correlation (or, in general, a computable relation) between the structure of an input and its corresponding output and that it is possible to infer that function or mapping from a sufficiently large number of examples.

You May Also Like

क्या आप जानते हैं कि क्या है, पितृ पक्ष में कौवे को खाना देने के पीछे का वैज्ञानिक कारण!

श्राद्ध पक्ष में कौओं का बड़ा ही महत्व है। कहते है कौआ यम का प्रतीक है, यदि आपके हाथों दिया गया भोजन ग्रहण कर ले, तो ऐसा माना जाता है कि पितरों की कृपा आपके ऊपर है और वे आपसे ख़ुश है।


कुछ लोग कहते हैं की व्यक्ति मरकर सबसे पहले कौवे के रूप में जन्म लेता है और उसे खाना खिलाने से वह भोजन पितरों को मिलता है

शायद हम सबने अपने घर के किसी बड़े बुज़ुर्ग, किसी पंडित या ज्योतिषाचार्य से ये सुना होगा। वे अनगिनत किस्से सुनाएंगे, कहेंगे बड़े बुज़ुर्ग कह गए इसीलिए ऐसा करना

शायद ही हमें कोई इसके पीछे का वैज्ञानिक कारण बता सके।

हमारे ऋषि मुनि और पौराणिक काल में रहने वाले लोग मुर्ख नहीं थे! कभी सोचियेगा कौवों को पितृ पक्ष में खिलाई खीर हमारे पूर्वजों तक कैसे पहुंचेगी?

हमारे ऋषि मुनि विद्वान थे, वे जो बात करते या कहते थे उसके पीछे कोई न कोई वैज्ञानिक कारण छुपा होता था।

एक बहुत रोचक तथ्य है पितृ पक्ष, भादो( भाद्रपद) प्रकृति और काक के बीच।

एक बात जो कह सकते कि हम सब ने स्वतः उग आये पीपल या बरगद का पेड़/ पौधा किसी न किसी दीवार, पुरानी

इमारत, पर्वत या अट्टालिकाओं पर ज़रूर देखा होगा। देखा है न?

ज़रा सोचिये पीपल या बरगद की बीज कैसे पहुंचे होंगे वहाँ तक? इनके बीज इतने हल्के भी नहीं होते के हवा उन्हें उड़ाके ले जा सके।