petej + bigdata   216

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
UA Looks at 'Digital Traces' to Help Students | UANews
"It's kind of like a sensor that's embedded in them, which can be used for tracking them," Ram said of the card. "It's really not designed to track their social interactions, but you can, because you have a timestamp and location information."

Working in partnership with UA Information Technology, Ram gathered and analyzed data on freshman CatCard usage over a three-year period. She then used that data to create large networks mapping which students interacted with one another and how often.

For example, if Student A, on multiple occasions, uses her CatCard at the same location at roughly the same time as Student B, it would suggest a social interaction between the two.

Ram also looked at how students' interactions changed over time, by constructing networks two weeks at a time over a 12-week period.

"There are several quantitative measures you can extract from these networks, like the size of their social circle, and we can analyze changes in these networks to see if their social circle is shrinking or growing, and if the strength of their connections is increasing or decreasing over time," she said.
UniversityOfArizona  learningAnalytics  students  surveillance  bigData  tracking  ethics  consent  education  higherEducation  universities 
march 2018 by petej
How Facebook's tentacles reach further than you think - BBC News
"All of us, when we are uploading something, when we are tagging people, when we are commenting, we are basically working for Facebook," he says.
Facebook  socialMedia  personalData  algorithms  bigData  surveillance  privacy  unpaidWork  unpaidLabour 
may 2017 by petej
Hey, Computer Scientists! Stop Hating on the Humanities | WIRED
It’s possible that listening to non-computer scientists will slow the Silicon Valley machine: Diverse worldviews can produce argument. But slowing down in places where reasonable people can disagree is a good thing. In an era where even elections are won and lost on digital battlefields, tech companies need to move less fast and break fewer things.
SiliconValley  computerScience  algorithms  bigData  humanities  disruption  ethics  change  technology 
april 2017 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
Big Data, No Thanks |
"The two chambers represent an encounter with two annihilations – one of the body, and one of the mind, but both of the self. We’ve built modern civilisation on the dialectic that more information leads to better decisions, but our engineering has caught up with our philosophy. The novelist and activist Arundhati Roy, writing on the occasion of the detonation of India’s first nuclear bomb, called it “The End of Imagination” – and again, this revelation is literalised by our information technologies. We have to figure out a new way of living with in the light of the technologies we’ve built for ourselves. But then, we’ve been trying to do that for a while."
nuclearWeapons  CND  civilDisobedience  directAction  computing  technology  SnowdenEdward  surveillance  NSA  data  personalData  bigData  AshleyMadison  leaks  security 
november 2015 by petej
Big Data’s Radical Potential | Jacobin
"Big data, like all technology, is imbued within social relations. Despite the rhetoric of its boosters and detractors, there is nothing inherently progressive or draconian about big data. Like all technology, its uses reflect the values of the society we live in.

Under our present system, the military and government use big data to suppress populations and spy on civilians. Corporations use it to boost profits, increase productivity, and extend the process of commodification ever deeper into our lives. But data and statistical algorithms don’t produce these outcomes — capitalism does. To realize the potentially amazing benefits of big data, we must fight against the undemocratic forces that seek to turn it into a tool of commodification and oppression.

Big data is here to stay. The question, as always under capitalism, is who will control it and who will reap the benefits."
bigData  algorithms  control  profiling  productivity  discipline  capitalism 
june 2015 by petej
The Machines Are Coming -
"It’s easy to imagine an alternate future where advanced machine capabilities are used to empower more of us, rather than control most of us. There will potentially be more time, resources and freedom to share, but only if we change how we do things. We don’t need to reject or blame technology. This problem is not us versus the machines, but between us, as humans, and how we value one another."
automation  algorithms  bigData  work  jobs  labour  power  control  outsourcing  surveillance  employment  technology  robots 
april 2015 by petej
The truth about smart cities: ‘In the end, they will destroy democracy' | Cities | The Guardian
One sceptical observer of many presentations at the Future Cities Summit, Jonathan Rez of the University of New South Wales, suggests that “a smarter way” to build cities “might be for architects and urban planners to have psychologists and ethnographers on the team.” That would certainly be one way to acquire a better understanding of what technologists call the “end user” – in this case, the citizen. After all, as one of the tribunes asks the crowd in Shakespeare’s Coriolanus: “What is the city but the people?”
cities  technology  smartCities  design  planning  surveillance  tracking  automation  bigData  openData  democracy  technoUtopianism  solutionism 
december 2014 by petej
Shoshan Zuboff on “Big Data” as Surveillance Capitalism
"I suggest that it is cowardly to accept the current facts as if they must be the case.
Courage requires seeing beyond these facts—- in spite of the collective intentionality that has been summoned by today’s surveillance capitalism and its claim on our future."
bigData  surveillance  businessModels  tracking  personalData  capitalism  resistance  surveillanceCapitalism  dctagged  dc:creator=ZuboffShoshana 
november 2014 by petej
Improvisation Blog: Big Data, Social Ecology and the Surveillance of Management by the people
"In most institutions since the economic crash, austerity has resulted in the ramping up of ‘mutual information’ and the elimination of flexibility. My own institution conducted what it called (horribly) a ‘delayering’ exercise, removing autonomy from departments and concentrating power at the top. The tests of health are simple. How many times do senior managers say “no” to the ideas of junior staff? How many times do they refuse resourcing or funding requests? How many times do they say “yes” to their own ideas? How many times do they say “no” to their own ideas? And my favourite: How many times do people throughout the institution utter (for whatever reason) “What the Fuck?!” to things that happen per week? The WTF count is very reliable: it seems to be quite high where I am!

If we use our data right, we can ask these questions. We can demand from our managers that they act as proper custodians of educational ecologies, and not as the self-important 'CEOs' that only hubris and covetousness delude them into believing. "
education  bigData  managerialism  control  data  surveillance  ecology  dctagged  dc:creator=JohnsonMark 
november 2014 by petej
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