Difference between revisions of "Notepad:Simulacra"

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=== Absorbed by unreality  ===
 
=== Absorbed by unreality  ===
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https://ichef.bbci.co.uk/images/ic/640xn/p04bpbyz.jpg
  
 
[https://www.youtube.com/watch?v=PtjfoEvsR9w Living in an Unreal World A Film] By Adam Curtis. Excerpt from [https://en.wikipedia.org/wiki/HyperNormalisation Hypernormalisation] ([https://www.theguardian.com/tv-and-radio/2016/oct/09/adam-curtis-donald-trump-documentary-hypernormalisation review])
 
[https://www.youtube.com/watch?v=PtjfoEvsR9w Living in an Unreal World A Film] By Adam Curtis. Excerpt from [https://en.wikipedia.org/wiki/HyperNormalisation Hypernormalisation] ([https://www.theguardian.com/tv-and-radio/2016/oct/09/adam-curtis-donald-trump-documentary-hypernormalisation review])
  
'''What are signs of the unreality that we are seeing today?'''
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'''Do you feel we can know reality today? Why or why not?'''
:: Take a minute to think of one or two examples. After a minute, you will be paired with a classmate. Each take 2-3 minutes to ask the other partner about their example. Then, join with another pair, and explain your partner's example to the group.
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:: Take a minute to think of one or two examples that seem somehow representative of our sense of reality. It could be a news story, or an experience you have had. After a minute, you will be paired with a classmate. Each take 2-3 minutes to ask the other partner about their example. Then, join with another pair, and explain your partner's example to the group.
  
 
=== Deceptive signs, ominous portents ===  
 
=== Deceptive signs, ominous portents ===  
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'''Filter bubbles''' - http://graphics.wsj.com/blue-feed-red-feed/
 
'''Filter bubbles''' - http://graphics.wsj.com/blue-feed-red-feed/
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[https://www.wired.com/2017/02/veles-macedonia-fake-news/ The Macedonian Teens Who Mastered Fake News]
 
[https://www.wired.com/2017/02/veles-macedonia-fake-news/ The Macedonian Teens Who Mastered Fake News]
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[http://graphics.wsj.com/blue-feed-red-feed/ Blue Feed, Red Feed] - Liberal Facebook and Conservative Facebook, Side by Side
 
[http://graphics.wsj.com/blue-feed-red-feed/ Blue Feed, Red Feed] - Liberal Facebook and Conservative Facebook, Side by Side
  
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https://1.bp.blogspot.com/-qjAtT537p0k/VVztS0mz_qI/AAAAAAAAAqg/5vkBLXugbes/s400/Unlearn02-www-scarfolk-blogspot-com.jpg
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[https://www.wired.com/2015/01/facebook-personality-test/ How Facebook Knows You Better Than Your Friends Do]
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::''In the end, the researchers found that with information on just ten Facebook “Likes,” the algorithm was more accurate than the average person’s colleague. With 150 “Likes,” it could outsmart people’s families, and with 300 “Likes,” it could best a person’s spouse.''
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[https://www.nytimes.com/2017/03/06/us/politics/cambridge-analytica.html Data Firm Says ‘Secret Sauce’ Aided Trump; Many Scoff]
  
  
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:: ''Here’s an exercise: The next time you hear someone talking about algorithms, replace the term with “God” and ask yourself if the meaning changes. Our supposedly algorithmic culture is not a material phenomenon so much as a devotional one, a supplication made to the computers people have allowed to replace gods in their minds, even as they simultaneously claim that science has made us impervious to religion.''
 
:: ''Here’s an exercise: The next time you hear someone talking about algorithms, replace the term with “God” and ask yourself if the meaning changes. Our supposedly algorithmic culture is not a material phenomenon so much as a devotional one, a supplication made to the computers people have allowed to replace gods in their minds, even as they simultaneously claim that science has made us impervious to religion.''
  
http://scarfolk.blogspot.ca/2015/05/unlearnprivacy-cards-1970s.html
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https://2.bp.blogspot.com/-a96KuPPrkYQ/VVzsvSP3jBI/AAAAAAAAAqM/kmAeARpwP9E/s400/Unlearn01-www-scarfolk-blogspot-com.jpg
  
 
[http://www.thenation.com/article/how-companies-turn-your-facebook-activity-credit-score/ How Companies Turn Your Facebook Activity Into a Credit Score]
 
[http://www.thenation.com/article/how-companies-turn-your-facebook-activity-credit-score/ How Companies Turn Your Facebook Activity Into a Credit Score]
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:: ''Digital commerce and governance is moving, as fast and hard as it possibly can, into a full-spectrum dominance over whatever used to be analogue. In practice, the Internet of Things means an epic transformation: all-purpose electronic automation through digital surveillance by wireless broadband.''
 
:: ''Digital commerce and governance is moving, as fast and hard as it possibly can, into a full-spectrum dominance over whatever used to be analogue. In practice, the Internet of Things means an epic transformation: all-purpose electronic automation through digital surveillance by wireless broadband.''
  
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A [http://thehackernews.com/2017/03/wikileaks-cia-vault7-leak.html recent Wikileaks dump] suggests the CIA has exploits for pretty much every online application, and devices such as TV's ("fake off mode").
  
'''The robots:'''
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You are not safe from data mining when you study, either. [http://hackeducation.com/2013/10/17/student-data-is-the-new-oil/  Student Data is the New Oil]. You do have [http://www.bclaws.ca/civix/document/id/consol26/consol26/96165_00 strong privacy rights in BC].
http://www.nytimes.com/2015/05/17/books/review/rise-of-the-robots-and-shadow-work.html?smid=tw-share&_r=0
 
 
 
:: ''Tasks that would seem to require a distinctively human capacity for nuance are increasingly assigned to algorithms, like the ones currently being introduced to grade essays on college exams. Particularly terrifying to me, computer programs can now write clear, publishable articles, and, as Ford reports, Wired magazine quotes an expert’s prediction that within about a decade 90 percent of news articles will be computer-­generated.''
 
 
 
[http://www.cbc.ca/news/technology/robot-ta-ai-1.3585801 University students fooled by robot TA]
 
  
[http://hackeducation.com/2015/09/10/existing-digitally/ Existing Digitally], Audrey Watters
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=== You can learn and respond ===
  
:: ''If technologies are shifting our industries – and certainly we’re told they are – then how should we, how must we respond – and respond not in the service of “industry needs” but in the service of our own needs.''
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[http://hackeducation.com/2016/11/17/trump Education Technology Under Trump: A Syllabus]
  
:: ''What I often fear is that we don’t really know what our needs are – technologically at least. Indeed, I think we’ve shied away from figuring this out, in part because we’ve been convinced that technology is too hard, too complicated. We’ve surrendered too to the notion tech is necessarily intimidating – or conversely to the idea that tech “just works” – and that we needn’t interrogate, let alone master it. It’s “someone else’s job.”''
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[https://webliteracy.pressbooks.com/ Web Literacy for Student Fact Checkers]
  
:: ''“Someone else’s job” – perhaps, but that job is increasingly encroaching on our own work.''
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* Sample technique - spotting bad memes via [https://hapgood.us/2017/01/17/road-trip/ reverse image search]
  
'''This passivity''' results on strange relationships between [http://researchguides.uic.edu/c.php?g=252224&p=1684825 higher education and scholarly publishing], ownership of [http://open.bccampus.ca/open-textbook-faq/ learning materials], ownership of [http://chronicle.com/article/Inside-the-Coursera-Contract/133065/ courses], ownership of [http://www.educause.edu/visuals/shared/er/extras/2014/ReclaimingInnovation/default.html educational technology], [http://hackeducation.com/2013/10/17/student-data-is-the-new-oil/ data].
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Fact checking sites such as [http://www.snopes.com/ Snopes].
  
It is also possible to use the web for work that extends the class, [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Murder_Madness_and_Mayhem engages the public] uses the [http://ds106.us/ web as platform].
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[https://www.eff.org/privacybadger Privacy Badger] blocks spying ads and invisible trackers.  
  
=== Oh yes, data... ===
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[https://adnauseam.io/ AdNauseam] quietly clicks on every blocked ad, registering a visit on ad networks' databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveillance become futile.
  
http://reclaim.trubox.ca/wp-content/uploads/sites/65/2015/03/Construction_drone_2x519.gif
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=== For next class... ===
  
We are the robots: Workplace monitoring – [http://harpers.org/archive/2015/03/the-spy-who-fired-me/?single=1 The Spy Who Fired Me]
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Be reading ''Neuromancer'' by William Gibson. You will be covering it next week.
  
:: ''Pearson described the Work Diary as “the equivalent of being able to walk up to someone’s desk and see how they’re doing.” But it is much more than that. Once every ten minutes while you’re logged in, the program takes a snapshot of your computer’s desktop. It’s a detailed image that shows, for example, all the tabs open on your Web browser. The program also records minute-by-minute keystroke and mouse data, along with a productivity rating. The exact timing of the snapshot is unpredictable. It could happen at the moment you open iTunes to start a new playlist. Or when your boyfriend sends you an instant message. An icon pops up on your screen whenever a screenshot is captured, and you can review them and delete any troubling images. “The application is not a surveillance system,” oDesk’s online Help Center says. “You have full control over what it records . . . deleting those [screenshots] you choose not to share with your client.” But the Help Center fails to note that for each screenshot you delete, you sacrifice ten minutes of guaranteed pay.''
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We will discuss more on what gets done with our data via algorithms, artificial intelligence, and bots. In the meantime, look for examples of new types of automation, or of technologies doing things we used to think of as human functions.  
  
Mac MacLelland, [http://www.radiolab.org/story/brown-box/ Brown Box]
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The Singularity: are machines becoming more human, or humans becoming more like machines? Or...? How is the world of work, of politics, of culture being reshaped?
::''With an hour left in the day, I’ve already picked 800 items. Despite moving fast enough to get sloppy, my scanner tells me that means I’m fulfilling only 52 percent of my goal. A supervisor who is a genuinely nice person comes by with a clipboard listing my numbers. Like the rest of the supervisors, she tries to create a friendly work environment and doesn’t want to enforce the policies that make this job so unpleasant. But her hands are tied. She needs this job, too, so she has no choice but to tell me something I have never been told in 19 years of school or at any of some dozen workplaces.”You’re doing really bad,” she says.''
 

Latest revision as of 09:34, 14 March 2017

Representation starts from the principle that the sign and the real are equivalent (even if this equivalence is Utopian, it is a fundamental axiom). Conversely, simulation starts from the Utopia of this principle of equivalence, from the radical negation of the sign as value, from the sign as reversion and death sentence of every reference. Whereas representation tries to absorb simulation by interpreting it as false representation, simulation envelops the whole edifice of representation as itself a simulacrum. -- Jean Baudrillard, Simulacra and Simulation

Absorbed by unreality

p04bpbyz.jpg

Living in an Unreal World A Film By Adam Curtis. Excerpt from Hypernormalisation (review)

Do you feel we can know reality today? Why or why not?

Take a minute to think of one or two examples that seem somehow representative of our sense of reality. It could be a news story, or an experience you have had. After a minute, you will be paired with a classmate. Each take 2-3 minutes to ask the other partner about their example. Then, join with another pair, and explain your partner's example to the group.

Deceptive signs, ominous portents

The online world has always had its creepy elements. Abuse and misogyny. Catfishing. A bad joke can ruin a life.

We are learning to be mindful of our Digital Tattoo, learning bits of "catfish literacy". But does the challenge go deeper?


Black boxes

FIPPA • privacy • corporate co-option • net neutrality • DRM • risk • patent system • security • trolls • openwashing • CISPA • spying • fraud • tracking • hacking • apathy • CALEA • data snooping • LMS/VLE-ification • mass surveillance • Facebook • phishing • spamming • NSA • Gamergate • PRISM • student data is the new oil • vendor lock-in

Terms of use:

First_born_child-1024x497.jpg

Terms of Service, Didn’t Read – Integrates legally-informed ratings with a browser extension.

Filter bubbles - http://graphics.wsj.com/blue-feed-red-feed/


The Macedonian Teens Who Mastered Fake News

the Macedonian town of 55,000 was the registered home of at least 100 pro-Trump websites, many of them filled with sensationalist, utterly fake news. (The imminent criminal indictment of Hillary Clinton was a popular theme; another was the pope’s approval of Trump.) The sites’ ample traffic was rewarded handsomely by automated advertising engines, like Google’s AdSense.


Blue Feed, Red Feed - Liberal Facebook and Conservative Facebook, Side by Side

Unlearn02-www-scarfolk-blogspot-com.jpg

How Facebook Knows You Better Than Your Friends Do

In the end, the researchers found that with information on just ten Facebook “Likes,” the algorithm was more accurate than the average person’s colleague. With 150 “Likes,” it could outsmart people’s families, and with 300 “Likes,” it could best a person’s spouse.

Data Firm Says ‘Secret Sauce’ Aided Trump; Many Scoff


Algorithms – The Cathedral of Computation

Here’s an exercise: The next time you hear someone talking about algorithms, replace the term with “God” and ask yourself if the meaning changes. Our supposedly algorithmic culture is not a material phenomenon so much as a devotional one, a supplication made to the computers people have allowed to replace gods in their minds, even as they simultaneously claim that science has made us impervious to religion.

Unlearn01-www-scarfolk-blogspot-com.jpg

How Companies Turn Your Facebook Activity Into a Credit Score

Thousands of data brokers keep tabs on everything from social-media profiles and online searches to public records and retail loyalty cards; they likely know things including (but not limited to) your age, race, gender, and income; who your friends are; whether you’re ill, looking for a job, getting married, having a baby, or trying to buy a home. Today, we all swim in murky waters in which we’re constantly tracked, analyzed, and scored, without knowing what information is being collected about us, how it’s being weighted, or why it matters—much of it as irrelevant and inaccurate as the hearsay assembled during the early days of consumer reporting.

Credit Scores, Life Chances, and Algorithms

It is the iron cage in binary code. Not only is our social life rationalized in ways even Weber could not have imagined but it is also coded into systems in ways difficult to resist, legislate or exert political power.

Surge Pricing for Your Entire Life, Jacob Silverman

Insurers and devices manufacturers have quickly united over their shared love of data—our data—and insurance customers are starting to see the effects. Real-time pricing, behavioral nudges: these are the new costs of being insured.
This month, John Hancock Insurance—whose patriotic namesake might be disappointed that the company is now a wholly owned subsidiary of Canadian giant Manulife Financial—announced that it would distribute rebates to life insurance customers in exchange for access to their fitness monitor and location information.
…What happens when you drive a little too fast on the way to the gym, and your health insurer rewards you but your car insurer slaps on a penalty? What happens when BlueCross knows what’s in your smart fridge? Your life becomes a series of overlapping—and often competing—rewards programs, gamified events, penalties, coupons, warnings, alerts, and nudges. Practically your entire existence becomes subject to dynamic surge pricing.

Screenshot-2015-09-16-12.37.03.png

The Epic Struggle of the Internet of Things, Bruce Sterling

Digital commerce and governance is moving, as fast and hard as it possibly can, into a full-spectrum dominance over whatever used to be analogue. In practice, the Internet of Things means an epic transformation: all-purpose electronic automation through digital surveillance by wireless broadband.

A recent Wikileaks dump suggests the CIA has exploits for pretty much every online application, and devices such as TV's ("fake off mode").

You are not safe from data mining when you study, either. Student Data is the New Oil. You do have strong privacy rights in BC.

You can learn and respond

Education Technology Under Trump: A Syllabus

Web Literacy for Student Fact Checkers

Fact checking sites such as Snopes.

Privacy Badger blocks spying ads and invisible trackers.

AdNauseam quietly clicks on every blocked ad, registering a visit on ad networks' databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveillance become futile.

For next class...

Be reading Neuromancer by William Gibson. You will be covering it next week.

We will discuss more on what gets done with our data via algorithms, artificial intelligence, and bots. In the meantime, look for examples of new types of automation, or of technologies doing things we used to think of as human functions.

The Singularity: are machines becoming more human, or humans becoming more like machines? Or...? How is the world of work, of politics, of culture being reshaped?