petej + bias   61

Facebook extremism and fake news: How Facebook is training us to be conspiracy theorists — Quartz
And the problem is that—unlike previous social sites—Facebook doesn’t know, because from Facebook’s perspective they have two goals, and neither is about the quality of the community or well-being of its members. The first goal is to keep you creating Facebook content in the form of shares, likes, and comments. Any value you get out of it as a person is not a direct Facebook concern, except as it impacts those goals. And so Facebook is designed to make you share without reading, and like without thinking, because that is how Facebook makes its money and lock-in, by having you create social content (and personal marketing data) it can use.

The second Facebook goal is to keep you on the site at all costs, since this is where they can serve you ads. And this leads to another problem we can talk about more fully in another post. Your average news story — something from the New York Times on a history of the Alt-Right, for example — won’t get clicked, because Facebook has built their environment to resist people clicking external links. Marketers figured this out and realized that to get you to click they had to up the ante. So they produced conspiracy sites that have carefully designed, fictional stories that are inflammatory enough that you *will* click.

In other words, the consipiracy clickbait sites appeared as a reaction to a Facebook interface that resisted external linking. And this is why fake news does better on Facebook than real news.

To be as clear as I possibly can—by setting up this dynamic, Facebook simultaneously set up the perfect conspiracy replication machine and incentivized the creation of a new breed of conspiracy clickbait sites.
Facebook  socialSoftware  bias  design  extremism  conspiracyTheory  belief  businessModels  truth  trust  familiarity  whiteSupremacism  misinformation 
5 weeks ago by petej
Amazon’s Home Security Company Is Turning Everyone Into Cops - Motherboard
Ring sells a very particular message: while you shouldn’t trust your neighbors, you can trust Amazon to help police it. The Neighbors app is free. But the more unsafe the app makes you feel the most inclined you would feel to dole out money for a Ring home security system.
Amazon  CCTV  surveillance  Neighbors  policing  crime  suspicion  Ring  NextDoor  racism  theft  discrimination  trust  distrust  fear  bias 
9 weeks ago by petej
Airtime for Hitler « LRB blog
Laura Kuenssberg, the BBC’s political editor, may truly believe in her own and the corporation’s impartiality, for which she has said she ‘would die in a ditch’. Yet believing in it without interrogating its institutional biases – having signed up to the values and practices of an employer as big as the BBC because your background, education and milieu is already a good fit with those values – isn’t remotely impartial. If the BBC really wanted to listen to and understand working-class people, both white and non-white, it would do better to employ more of them.
BBC  class  whiteWorkingClass  BNP  GriffinNick  BeackonDerek  TowerHamlets  farRight  race  bias  dctagged  dc:creator=HanleyLynsey 
august 2018 by petej
The Business of 'Ed-Tech Trends'
Imagine that, instead of fawning over future-oriented “trends” or the future promise of products – be they virtual reality or “personalized learning” or “flexible seating” or what have you, that education technology actually centered itself on ethical practices – on an ethics of care. And imagine if education’s investors, philanthropists, and practitioners alike committed to addressing, say, economic inequality and racial segregation instead of simply committing to buying more tech.
edtech  trends  business  bias  influence  personalisation  philanthropy  ventureCapital  ethics  dctagged  dc:creator=WattersAudrey 
january 2018 by petej
Deep-Fried Data
"I find it helpful to think of algorithms as a dim-witted but extremely industrious graduate student, whom you don't fully trust. You want a concordance made? An index? You want them to go through ten million photos and find every picture of a horse? Perfect.

You want them to draw conclusions on gender based on word use patterns? Or infer social relationships from census data? Now you need some adult supervision in the room."

"The way things are right now, the Internet is a shopping mall. There are two big anchor stores, Facebook and Google, at either end. There’s an Apple store in the middle, along with a Sharper Image where they are trying to sell us the Internet of Things. A couple of punk kids hang out in the food court, but they don't really make trouble. This mall is well-policed and has security cameras everywhere. And you guys are the bookmobile in the parking lot, put there to try to make it classy.

My dream for the web is for it to feel like big city. A place where you rub elbows with people who are not like you. Somewhere a little bit scary, a little chaotic, full of everything you can imagine and a lot of things that you can't. A place where there’s room for chain stores, room for entertainment conglomerates, but also room for people to be themselves, to create their own spaces, and to learn from one another."
machineLearning  algorithms  bigData  bias  automation  socialMedia  surveillance  privacy  personalData  ethics  archiving  preservation  community  libraries  dctagged  dc:creator=CeglowskiMaciej 
october 2016 by petej
View From Nowhere – The New Inquiry
"The cultural ideology of Big Data attempts to reverse this by shifting authority away from (slightly more) democratized research expertise toward unequal access to proprietary, gated data."
bigData  data  knowledge  power  positivism  science  RudderChristian  algorithms  bias  socialMedia  SiliconValley  ideology  dctagged  dc:creator=JurgensonNathan 
october 2014 by petej

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