petej + recommendations   34

Force Fed — Real Life
This was the dream of the early internet utopians: that “the web” was a form of real anarchy, a totally voluntary system of association, interest, and desire. But of course, the internet was created and has evolved to serve the needs of capital, not the people who use it. Technology companies have recognized the possibilities for social domination opened up by increasingly geographically dispersed workplaces and communities. And the algorithmic discipline they have developed has a corresponding geopolitical imaginary.

Unlike the liberals, who have proved utterly incapable of a coherent political vision moving forward, tech libertarians have recognized the imminent collapse of the nation-state and its nonsovereignty in the face of global capital. Seeing that London, Tokyo, and New York City have more in common with each other than with Birmingham, Osaka, or Albany, they envision the political return of much smaller sociopolitical units capable of serving as effective nodes in integrated global flows without all the hang-ups of nations, borders, or social services. The “neoreactionary” right wing of this group advocates the return of monarchy, while the Burning Man–types dream of seasteading city-states, or California splitting into six parts. But in all these visions, corporate sovereigns replace national ones. The internet economy is set up to deliver and manage such a world.

The tech-futurists are post-nationalists; theirs is a fundamentally different vision from that of the neo-fascists currently rising to power. The resurgent nationalism and ethno-fascism represented by the likes of Donald Trump are a counter-tendency that wants to reinvigorate the nation-state through virulent racism and hard borders. Despite their far-reaching hopes for ethnic cleansing, these neo-fascists lack a transformative economic vision. They may be able to plunder the wealth of the wrong types of people — queers, Black people, Muslims, immigrants, Jews — who their program of intensified policing, both at borders and internally, would make vulnerable to further robbery, low-wage exploitation, or prison enslavement. Combined with total deregulation and the selling off of what’s left of the social democratic state in one last cash grab, the strategy could offer continued profits and stability of the system for the medium term. But fascist nationalism has no more ability than neoliberalism to actually solve the economic crises of capitalism or save the nation-state.
games  gaming  YouTube  recommendations  algorithms  extremism  neo-Nazism  targeting  profiling  marketing  correlation  masculinity  whiteSupremacism  predictions  conformity  stereotyping  NRx  neoreactionism  libertarianism  post-nationalism  fascism 
november 2018 by petej
How social media took us from Tahrir Square to Donald Trump - MIT Technology Review
Rather, the problem is that when we encounter opposing views in the age and context of social media, it’s not like reading them in a newspaper while sitting alone. It’s like hearing them from the opposing team while sitting with our fellow fans in a football stadium. Online, we’re connected with our communities, and we seek approval from our like-minded peers. We bond with our team by yelling at the fans of the other one. In sociology terms, we strengthen our feeling of “in-group” belonging by increasing our distance from and tension with the “out-group”—us versus them. Our cognitive universe isn’t an echo chamber, but our social one is. This is why the various projects for fact-checking claims in the news, while valuable, don’t convince people. Belonging is stronger than facts.
socialMedia  politics  activism  communication  ArabSpring  Egypt  TahrirSquare  Tunisia  Syria  Iran  Twitter  MubarakHosni  authoritarianism  power  control  ObamaBarack  targeting  technoUtopianism  bigData  misinformation  polarisation  NSA  security  Facebook  Google  monopolies  YouTube  algorithms  attention  insults  TrumpDonald  USA  Russia  trolling  interference  corruption  accountability  filterBubble  surveillance  platforms  personalData  inequality  precarity  insecurity  dctagged  dc:creator=TufekciZeynep  recommendations 
august 2018 by petej
Two Decades of Recommender Systems at Amazon.com
This is a vision where intelligence is everywhere. Every interaction should reflect who you are and what you like, and help you find what other people like you have already discovered. It should feel hollow and pathetic when you see something that's obviously not you; do you not know me by now?

Getting to this point requires a new way of thinking about recommendations. There shouldn't be recommendation features and recommendation engines. Instead, understanding you, others, and what's available should be part of every interaction.

Recommendations and personalization live in the sea of data we all create as we move through the world, including what we find, what we discover, and what we love. We're convinced the future of recommendations will further build on intelligent computer algorithms leveraging collective human intelligence. The future will continue to be computers helping people help other people.
Amazon  algorithms  personalisation  artificialIntelligence  recommendations 
july 2017 by petej
Twitter Blog: Now playing: Twitter #music
I follow - well, used to follow - people on Twitter because they had interesting things to say. Their taste in music was, with a handful of exceptions, appalling.
Twitter  music  socialMedia  recommendations 
april 2013 by petej
BBC News - Twitter launches #Music service with artist recommendations
"Twitter has unveiled a new music app which will recommend tracks based on who you follow on the social network."

I follow - well, used to follow - people on Twitter because they had interesting things to say. Their taste in music was, with a handful of exceptions, appalling.
Twitter  music  socialMedia  recommendations 
april 2013 by petej

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