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tongoscar

Democratic candidates' views on climate change - Los Angeles Times - 0 views

www.latimes.com/...ironment-climate-change-policy

shared by tongoscar on 19 Feb 20 - No Cached
  • It is a rare area in this primary where candidates are marching mostly to the same beat. They almost universally support a Green New Deal. They all vow to immediately reenlist the U.S. in the Paris accord to fight global warming.
  • Each of them would scrap all of the Trump rollbacks and set a firm deadline for moving the nation to net zero emissions, the point at which any greenhouse gas emissions caused by humans are balanced by carbon sinks in the environment or technologies that remove carbon from the atmosphere.
  • Former Vice President Joe Biden unveiled a bold $1.7-trillion plan for climate action that belies his brand of “incremental” progressivism. It doesn’t go as far as some of his rivals, but the Biden vision is hardly incremental.
  • ...4 more annotations...
  • He is calling for much further-reaching action and arguing that his deep experience in diplomacy makes him uniquely qualified to reposition the U.S. as the world leader in confronting global warming.
  • “On Day One, Biden will sign a series of new executive orders with unprecedented reach that go well beyond the Obama-Biden administration platform and put us on the right track,” the candidate’s plan vows.
  • Former Mayor Pete Buttigieg of South Bend, Ind., takes a more measured approach to reaching net zero emissions than some of his more progressive rivals.
  • Minnesota Sen. Amy Klobuchar is running as a moderate alternative to the progressive firebrands in the race. As such, her climate plans are more modest than those of some of her rivals.
katherineharron

Fact Check: Trump wildly exaggerates Spanish Flu mortality rate - CNNPolitics - 0 views

www.cnn.com/...index.html

shared by katherineharron on 28 Mar 20 - No Cached
  • As the tally of coronavirus cases and deaths in the US continues to rise, President Donald Trump and members of his coronavirus task force addressed questions Tuesday during a virtual town hall hosted by Fox News.
  • Facts First: Trump is exaggerating. Though estimates of the mortality rate for the 1918 flu pandemic vary widely since records from that period are incomplete, there are not any credible estimates as high as 50%. Scholars estimate the mortality rate is between about 2% and 20%. The Centers for Disease Control and Prevention estimates that at least 50 million people worldwide died from the H1N1 virus in 1918 and 1919, out of the approximately 500 million people who were infected.
  • "Net, net you can find credible death rate estimates from 2-10 percent," Dr. Brilliant said. "Either way that is a far cry from 50 percent."
Javier E

How to Get Things Done When You Don't Want to Do Anything - The New York Times - 0 views

www.nytimes.com/...motivation-energy-advice.html

motivation energy success

shared by Javier E on 29 Jul 21 - No Cached
  • As you look for your motivation, it helps to think of it falling into two categories, said Stefano Di Domenico, a motivation researcher
  • First, there’s controlled motivation, when you feel you’re being ruled by outside forces like end-of-year bonuses and deadlines — or inner carrots and sticks, like guilt or people-pleasing.
  • Often when people say they’ve lost motivation, “what they really mean,” Dr. Di Domenico said, “is ‘I’m doing this because I have to, not because I want to.’”
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  • The second kind, autonomous motivation, is what we’re seeking. This is when you feel like you’re self-directed, whether you have a natural affinity for the task at hand, or you’re doing something because you understand why it’s worthwhile.
  • Ms. Winder, who teaches workshops on reconnecting to your sense of purpose, often has students free write about what makes them come alive.
  • Clinical psychologist Richard M. Ryan, one of two scientists who developed a well-known approach to understanding motivation called self-determination theory, encourages those seeking lasting motivation to take a deep dive into their values.
  • when you connect the things that are important to you to the things you need to do — even the drudgeries — you can feel more in control of your actions. What do you love about your work? What core value does it meet?
  • Looking forward to a reward isn’t the best for long-term motivation. But several studies suggest that pairing small, immediate rewards to a task improves both motivation and fun.
  • Social connections like this are critical to rekindling motivation,
  • suggested considering how your motivation is tied to the people around you, whether that’s your family or your basketball team.
  • Reaching out lifts others, too. “Letting someone know that you are thinking of them is enough to kick-start their motivation,” and reminds them that you care,
  • People also motivate each other through competition.
  • Students in competitive groups exercised much more often than those in supportive social networks,
  • New athletic adventures can be motivational gold, too. A 2020 study suggested that trying out novel activities can help you stick with exercise.
  • Treating ourselves with compassion works much more effectively than beating ourselves up,
  • “People think they’re going to shame themselves into action,” yet self-compassion helps people stay focused on their goals, reduces fear of failure and improves self-confidence, which can also improve motivation, she said.
  • Students who were encouraged to be compassionate toward themselves after the test studied longer and performed better on a follow-up test, compared to students given either simple self-esteem-boosting comments or no instruction.
  • “The key thing about self-compassion and motivation is that it allows you to learn from your failures,”
peterconnelly

How an Organized Republican Effort Punishes Companies for Climate Action - The New York... - 0 views

www.nytimes.com/...blicans-blackrock-climate.html

companies climate action new york times

shared by peterconnelly on 01 Jun 22 - No Cached
  • In Texas, a new law bars the state’s retirement and investment funds from doing business with companies that the state comptroller says are boycotting fossil fuels.
  • Conservative lawmakers in 15 other states are promoting similar legislation.
  • Across the country, Republican lawmakers and their allies have launched a campaign to try to rein in what they see as activist companies trying to reduce the greenhouse gases that are dangerously heating the planet.
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  • In doing so, Mr. Moore and others have pushed climate change from the scientific realm into the political battles already raging over topics like voting rights, abortion and L.G.B.T.Q. issues.
  • “There is a coordinated effort to chill corporate engagement on these issues,” said Daniella Ballou-Aares
  • They have worked alongside a nonprofit organization that has run television ads, dispatched roaming billboard trucks and rented out a Times Square billboard criticizing BlackRock for championing what they call woke causes, including environmentalism.
  • That activism has often put companies at odds with the Republican Party, traditionally the ally of big business.
  • as pressure has grown from consumers and liberal groups to take action, corporations have warmed to the notion of using capital and markets to create a cleaner economy
  • When President Trump declared in 2017 that he would pull the United States from the Paris climate accord, more than 2,000 businesses and investors — including Apple, Amazon and Mars — signed a pledge to continue to work toward climate goals.
  • “Every company and every industry will be transformed by the transition to a net-zero world,” Mr. Fink wrote. “The question is, will you lead, or will you be led?”
  • And in January, Mr. Moore pulled about $20 million out of a fund managed by BlackRock because the firm has encouraged other companies to reduce emissions. BlackRock still manages several billion for West Virginia’s state retirement system. “We’re divesting from BlackRock because they’re divesting from us,” Mr. Moore said in an interview.
  • “These big banks are virtue signaling because they are woke,”
  • Mr. Fink of BlackRock has emerged as a main target of conservatives.
  • “We are perhaps the world’s largest investor in fossil fuel companies, and, as a long-term investor in these companies, we want to see these companies succeed and prosper,” BlackRock’s head of external affairs, Dalia Blass, wrote in a letter to Texas regulators in January.
  • “BlackRock is trying to have it all ways, acting like it is trying to please everyone.”
  • “ESG is a scam,” he said on Twitter on this month. “It has been weaponized by phony social justice warriors.” Shortly after that he shared a meme that declared an ESG score “determines how compliant your business is with the leftist agenda.”
  • “Climate change is not a financial risk that we need to worry about,” adding, “Who cares if Miami is six meters underwater in 100 years?”
  • That view is at odds with the findings of the world’s leading climate scientists. A major United Nations report warned last month that the world could reach a threshold by the end of this decade beyond which the dangers of global warming — including worsening floods, droughts and wildfires — will grow considerably. In 2021, there were 20 weather or climate-related disasters in the United States that each cost more than $1 billion in losses, according to the federal government.
  • “Our ambition is to be the leading bank supporting the global economy in the transition to net zero,” he said.
Javier E

His Job Was to Make Instagram Safe for Teens. His 14-Year-Old Showed Him What the App W... - 0 views

www.wsj.com/...ens-harassment-safety-5d991be1

social media bias technology psychology meta facebook instagram

shared by Javier E on 05 Nov 23 - No Cached
  • The experience of young users on Meta’s Instagram—where Bejar had spent the previous two years working as a consultant—was especially acute. In a subsequent email to Instagram head Adam Mosseri, one statistic stood out: One in eight users under the age of 16 said they had experienced unwanted sexual advances on the platform over the previous seven days.
  • For Bejar, that finding was hardly a surprise. His daughter and her friends had been receiving unsolicited penis pictures and other forms of harassment on the platform since the age of 14, he wrote, and Meta’s systems generally ignored their reports—or responded by saying that the harassment didn’t violate platform rules.
  • “I asked her why boys keep doing that,” Bejar wrote to Zuckerberg and his top lieutenants. “She said if the only thing that happens is they get blocked, why wouldn’t they?”
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  • For the well-being of its users, Bejar argued, Meta needed to change course, focusing less on a flawed system of rules-based policing and more on addressing such bad experiences
  • The company would need to collect data on what upset users and then work to combat the source of it, nudging those who made others uncomfortable to improve their behavior and isolating communities of users who deliberately sought to harm others.
  • “I am appealing to you because I believe that working this way will require a culture shift,” Bejar wrote to Zuckerberg—the company would have to acknowledge that its existing approach to governing Facebook and Instagram wasn’t working.
  • During and after Bejar’s time as a consultant, Meta spokesman Andy Stone said, the company has rolled out several product features meant to address some of the Well-Being Team’s findings. Those features include warnings to users before they post comments that Meta’s automated systems flag as potentially offensive, and reminders to be kind when sending direct messages to users like content creators who receive a large volume of messages. 
  • Meta’s classifiers were reliable enough to remove only a low single-digit percentage of hate speech with any degree of precision.
  • Bejar was floored—all the more so when he learned that virtually all of his daughter’s friends had been subjected to similar harassment. “DTF?” a user they’d never met would ask, using shorthand for a vulgar proposition. Instagram acted so rarely on reports of such behavior that the girls no longer bothered reporting them. 
  • Meta’s own statistics suggested that big problems didn’t exist. 
  • Meta had come to approach governing user behavior as an overwhelmingly automated process. Engineers would compile data sets of unacceptable content—things like terrorism, pornography, bullying or “excessive gore”—and then train machine-learning models to screen future content for similar material.
  • While users could still flag things that upset them, Meta shifted resources away from reviewing them. To discourage users from filing reports, internal documents from 2019 show, Meta added steps to the reporting process. Meta said the changes were meant to discourage frivolous reports and educate users about platform rules. 
  • The outperformance of Meta’s automated enforcement relied on what Bejar considered two sleights of hand. The systems didn’t catch anywhere near the majority of banned content—only the majority of what the company ultimately removed
  • “Please don’t talk about my underage tits,” Bejar’s daughter shot back before reporting his comment to Instagram. A few days later, the platform got back to her: The insult didn’t violate its community guidelines.
  • Also buttressing Meta’s statistics were rules written narrowly enough to ban only unambiguously vile material. Meta’s rules didn’t clearly prohibit adults from flooding the comments section on a teenager’s posts with kiss emojis or posting pictures of kids in their underwear, inviting their followers to “see more” in a private Facebook Messenger group. 
  • “Mark personally values freedom of expression first and foremost and would say this is a feature and not a bug,” Rosen responded
  • Narrow rules and unreliable automated enforcement systems left a lot of room for bad behavior—but they made the company’s child-safety statistics look pretty good according to Meta’s metric of choice: prevalence.
  • Defined as the percentage of content viewed worldwide that explicitly violates a Meta rule, prevalence was the company’s preferred measuring stick for the problems users experienced.
  • According to prevalence, child exploitation was so rare on the platform that it couldn’t be reliably estimated, less than 0.05%, the threshold for functional measurement. Content deemed to encourage self-harm, such as eating disorders, was just as minimal, and rule violations for bullying and harassment occurred in just eight of 10,000 views. 
  • “There’s a grading-your-own-homework problem,”
  • Meta defines what constitutes harmful content, so it shapes the discussion of how successful it is at dealing with it.”
  • It could reconsider its AI-generated “beauty filters,” which internal research suggested made both the people who used them and those who viewed the images more self-critical
  • the team built a new questionnaire called BEEF, short for “Bad Emotional Experience Feedback.
  • A recurring survey of issues 238,000 users had experienced over the past seven days, the effort identified problems with prevalence from the start: Users were 100 times more likely to tell Instagram they’d witnessed bullying in the last week than Meta’s bullying-prevalence statistics indicated they should.
  • “People feel like they’re having a bad experience or they don’t,” one presentation on BEEF noted. “Their perception isn’t constrained by policy.
  • they seemed particularly common among teens on Instagram.
  • Among users under the age of 16, 26% recalled having a bad experience in the last week due to witnessing hostility against someone based on their race, religion or identity
  • More than a fifth felt worse about themselves after viewing others’ posts, and 13% had experienced unwanted sexual advances in the past seven days. 
  • The vast gap between the low prevalence of content deemed problematic in the company’s own statistics and what users told the company they experienced suggested that Meta’s definitions were off, Bejar argued
  • To minimize content that teenagers told researchers made them feel bad about themselves, Instagram could cap how much beauty- and fashion-influencer content users saw.
  • Proving to Meta’s leadership that the company’s prevalence metrics were missing the point was going to require data the company didn’t have. So Bejar and a group of staffers from the Well-Being Team started collecting it
  • And it could build ways for users to report unwanted contacts, the first step to figuring out how to discourage them.
  • One experiment run in response to BEEF data showed that when users were notified that their comment or post had upset people who saw it, they often deleted it of their own accord. “Even if you don’t mandate behaviors,” said Krieger, “you can at least send signals about what behaviors aren’t welcome.”
  • But among the ranks of Meta’s senior middle management, Bejar and Krieger said, BEEF hit a wall. Managers who had made their careers on incrementally improving prevalence statistics weren’t receptive to the suggestion that the approach wasn’t working. 
  • After three decades in Silicon Valley, he understood that members of the company’s C-Suite might not appreciate a damning appraisal of the safety risks young users faced from its product—especially one citing the company’s own data. 
  • “This was the email that my entire career in tech trained me not to send,” he says. “But a part of me was still hoping they just didn’t know.”
  • “Policy enforcement is analogous to the police,” he wrote in the email Oct. 5, 2021—arguing that it’s essential to respond to crime, but that it’s not what makes a community safe. Meta had an opportunity to do right by its users and take on a problem that Bejar believed was almost certainly industrywide.
  • fter Haugen’s airing of internal research, Meta had cracked down on the distribution of anything that would, if leaked, cause further reputational damage. With executives privately asserting that the company’s research division harbored a fifth column of detractors, Meta was formalizing a raft of new rules for employees’ internal communication.
  • Among the mandates for achieving “Narrative Excellence,” as the company called it, was to keep research data tight and never assert a moral or legal duty to fix a problem.
  • “I had to write about it as a hypothetical,” Bejar said. Rather than acknowledging that Instagram’s survey data showed that teens regularly faced unwanted sexual advances, the memo merely suggested how Instagram might help teens if they faced such a problem.
  • The hope that the team’s work would continue didn’t last. The company stopped conducting the specific survey behind BEEF, then laid off most everyone who’d worked on it as part of what Zuckerberg called Meta’s “year of efficiency.
  • If Meta was to change, Bejar told the Journal, the effort would have to come from the outside. He began consulting with a coalition of state attorneys general who filed suit against the company late last month, alleging that the company had built its products to maximize engagement at the expense of young users’ physical and mental health. Bejar also got in touch with members of Congress about where he believes the company’s user-safety efforts fell short. 
Javier E

Scientists See Advances in Deep Learning, a Part of Artificial Intelligence - NYTimes.com - 1 views

www.nytimes.com/...f-artificial-intelligence.html

technology research brain science AI

shared by Javier E on 24 Nov 12 - No Cached
  • Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.
  • They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.
  • what is new in recent months is the growing speed and accuracy of deep-learning programs, often called artificial neural networks or just “neural nets” for their resemblance to the neural connections in the brain.
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  • With greater accuracy, for example, marketers can comb large databases of consumer behavior to get more precise information on buying habits. And improvements in facial recognition are likely to make surveillance technology cheaper and more commonplace.
  • Modern artificial neural networks are composed of an array of software components, divided into inputs, hidden layers and outputs. The arrays can be “trained” by repeated exposures to recognize patterns like images or sounds.
  • “The point about this approach is that it scales beautifully. Basically you just need to keep making it bigger and faster, and it will get better. There’s no looking back now.”
Javier E

McSweeney's Internet Tendency: Nate Silver Offers Up a Statistical Analysis of Your Fai... - 1 views

www.mcsweeneys.net/...s-of-your-failing-relationship

romance quantification scientific method social science

shared by Javier E on 27 Feb 13 - No Cached
  • Nate Silver Offers Up a Statistical Analysis of Your Failing Relationship.
  • Ultimately, please don’t give me too much credit for this accumulated data. Although 0.0 percent of your mutual friends were willing to say anything, 93.9 percent of them saw this coming from the start.
Javier E

Taking back the economy: the market as a Res Publica | openDemocracy - 0 views

www.opendemocracy.net/...-economy-market-as-res-publica

political theory economics democracy government market state

shared by Javier E on 18 Mar 13 - No Cached
  • Freedom in the republican tradition requires enjoyment of the fundamental liberties with the security that only a rule of law can provide. You must be publicly protected and resourced in such a way that it is manifest to you and to all that under local (not unnecessarily restrictive) conventions: you can speak your mind, associate with your fellows, enjoy communal resources, locate where you will, move occupation and make use of what is yours, without reason for fearing anyone or deferring to anyone. You have the standing of a liber or free person; you enjoy equal status under the public order and you share equally in control over that order.
  • The rules of public order constitute the possibility of private life in the way in which the rules of a game like chess constitute the possibility of playing that game. They represent enabling (or enabling-cum-constraining) rules, not rules that merely regulate a pre-existing domain.
  • This republican image runs into sharp conflict with a more received picture, celebrated by right-wing libertarians, according to which the rules of public order regulate the private sphere rather than serving – now in the fashion of one culture, now in the fashion of another – to make it possible
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  • On the republican picture, owning is a relationship that presupposes law, if only the inchoate law of informal custom.
  • The conflict between the images is important because it shows up in alternative visions of the economy and the relationship between the economy and the state.
  • You own something only insofar as it is a matter of accepted convention that given the way you came to hold it — given public recognition of the title you have to the property — you enjoy public protection against those who would take it from you
  • This view of property, prominent in Rousseau and presupposed in the broader republican tradition, is scarcely questionable in view of the salient diversity in systems of property
  • These observations, scarcely richer than platitudes, are important for giving us a perspective on the market and the economy, undermining the libertarian image. That picture represents the market as a res privata, a private thing, suggesting that the role of the state is merely to lay low the hills in the way of the market and smooth the paths for its operation. And so it depicts any other interventions of government in the market as dubious on philosophical, not just empirical, grounds.
  • this image accounts for the continuing attachment to austerity among those on the right. They are philosophically opposed to Keynesianism, not just opposed on empirical grounds, and their ideological stance makes empirically based arguments for Keynesianism invisible to them.
Javier E

The Excel Depression - NYTimes.com - 0 views

www.nytimes.com/...gman-the-excel-depression.html

austerity social science interpretation data mistake GDP

shared by Javier E on 19 Apr 13 - No Cached
  • the paper instantly became famous; it was, and is, surely the most influential economic analysis of recent years.
  • In fact, Reinhart-Rogoff quickly achieved almost sacred status among self-proclaimed guardians of fiscal responsibility; their tipping-point claim was treated not as a disputed hypothesis but as unquestioned fact.
  • the truth is that Reinhart-Rogoff faced substantial criticism from the start, and the controversy grew over time. As soon as the paper was released, many economists pointed out that a negative correlation between debt and economic performance need not mean that high debt causes low growth. It could just as easily be the other way around
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  • another problem emerged: Other researchers, using seemingly comparable data on debt and growth, couldn’t replicate the Reinhart-Rogoff results.
  • Correct these oddities and errors, and you get what other researchers have found: some correlation between high debt and slow growth, with no indication of which is causing which, but no sign at all of that 90 percent “threshold.”
  • Finally, Ms. Reinhart and Mr. Rogoff allowed researchers at the University of Massachusetts to look at their original spreadsheet — and the mystery of the irreproducible results was solved. First, they omitted some data; second, they used unusual and highly questionable statistical procedures; and finally, yes, they made an Excel coding error.
  • the Reinhart-Rogoff fiasco needs to be seen in the broader context of austerity mania: the obviously intense desire of policy makers, politicians and pundits across the Western world to turn their backs on the unemployed and instead use the economic crisis as an excuse to slash social programs.
  • What the Reinhart-Rogoff affair shows is the extent to which austerity has been sold on false pretenses. For three years, the turn to austerity has been presented not as a choice but as a necessity. Economic research, austerity advocates insisted, showed that terrible things happen once debt exceeds 90 percent of G.D.P. But “economic research” showed no such thing; a couple of economists made that assertion, while many others disagreed. Policy makers abandoned the unemployed and turned to austerity because they wanted to, not because they had to.
Grace Carey

News at Tipitaka Network - 0 views

www.tipitaka.net/...news.php

dogmatism falsification religion ignorance bias faith dual-causation logic Quantum-Physics measurement Reality Heisenberg uncertainty 5-senses perception

shared by Grace Carey on 27 Jan 13 - No Cached
  • Grace Carey on 27 Jan 13
     
    Finding some interesting and very much TOK articles while I'm working on my religious investigation about the science behind Buddhist beliefs. I found this one particularly intriguing as it discusses why the theory of reincarnation is scientifically sound and why scientists are often narrow-minded and overly trusted. "I was once told by a Buddhist G.P. that, on his first day at a medical school in Sydney, the famous Professor, head of the Medical School, began his welcoming address by stating "Half of what we are going to teach you in the next few years is wrong. Our problem is that we do not know which half it is!" Those were the words of a real scientist." "Logic is only as reliable as the assumptions on which it is based." "Objective experience is that which is free from all bias. In Buddhism, the three types of bias are desire, ill-will and skeptical doubt. Desire makes one see only what one wants to see, it bends the truth to fit one's preferences." "Reality, according to pure science, does not consist of well ordered matter with precise massed, energies and positions in space, all just waiting to be measured. Reality is the broadest of smudges of all possibilities, only some being more probable than others." "At a recent seminar on Science and Religion, at which I was a speaker, a Catholic in the audience bravely announced that whenever she looks through a telescope at the stars, she feels uncomfortable because her religion is threatened. I commented that whenever a scientist looks the other way round through a telescope, to observe the one who is watching, then they feel uncomfortable because their science is threatened by what is doing the seeing! "
Javier E

McSweeney's Internet Tendency: It's Not You, It's Quantitative Cost-Benefit Analysis. - 0 views

www.mcsweeneys.net/...titative-cost-benefit-analysis

romance analysis calculation emotion

shared by Javier E on 14 Feb 13 - No Cached
  • Susan, we need to talk. I’ve been doing a lot of thinking lately. About us. I really like you, but ever since we met in that econ class in college I knew there was something missing from how I felt: quantitative reasoning. We can say we love each other all we want, but I just can’t trust it without the data. And after performing an in-depth cost-benefit analysis of our relationship, I just don’t think this is working out.
Javier E

Here is the news - but only if Facebook thinks you need to know | John Naughton | Opini... - 0 views

www.theguardian.com/...s-publishers-feeding-the-beast

media algorithm facebook social media news power influence

shared by Javier E on 16 May 16 - No Cached
  • power essentially comes in three varieties: the ability to compel people to do what they don’t want to do; the capability to stop them doing what they want to do; and the power to shape the way they think
  • This last is the kind of power exercised by our mass media. They can shape the public (and therefore the political) agenda by choosing the news that people read, hear or watch; and they can shape the ways in which that news is presented.
  • For a long time, Google was the 800lb gorilla in this domain, because its dominance of search determined what people could find in the unimaginable wastelands of cyberspace
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  • search could be – and was – personalised, because Google’s algorithms could figure out what each user was most likely to be interested in, and therefore what kinds of information would be most relevant for her or him. So, imperceptibly, but inexorably over time, we have come to live in what Eli Pariser christened a “filter bubble”.
  • Before the internet, our problem with information was its scarcity. Now our problem is unmanageable abundance. So now the scarce resources are attention and time, over which a vicious war has broken out between traditional media and the internet-based upstarts.
  • YouTube has a billion users, half of whom access it via mobile devices. The average time spent on the site is 40 minutes. Facebook now claims to have 1.65 billion monthly active users, who spend on average 50 minutes a day on its services. So if Google is an 800lb gorilla, Facebook is a megaton King Kong.
  • Competition for attention and time is a zero-sum game that traditional media are losing. In desperation, they are trying both to appease Facebook and to harness its hold on people’s attention
  • In doing so, they have entered into a truly Faustian bargain. Because while publishers can without difficulty ship their stuff to Instant Articles, they cannot control which ones Facebook users actually get to see. This is because users’ news feeds are determined by Facebook’s machine-learning algorithms that try to guess what each user would like to see (and what might dispose them to click on an advertisement).
  • when you ask – as Professor George Brock memorably did – whether Mark Zuckerberg and his satraps understand that they have acquired editorial responsibilities, they look blank. Facebook is not a publisher, they explain, merely a “platform”. And, besides, no humans are involved in curating users’ news feeds: it’s all done by algorithms and is therefore neutral. In other words: nothing to see here; move on.
  • Any algorithm that has to make choices has criteria that are specified by its designers. And those criteria are expressions of human values. Engineers may think they are “neutral”, but long experience has shown us they are babes in the woods of politics, economics and ideology.
lenaurick

Your Facial Bone Structure Has a Big Influence on How People See You - Scientific American - 0 views

www.scientificamerican.com/...nfluence-on-how-people-see-you

brain influence research science psychology

shared by lenaurick on 12 Dec 15 - No Cached
  • New research shows that although we perceive character traits like trustworthiness based on a person’s facial expressions, our perceptions of abilities like strength are influenced by facial structure
  • A face resembling a happy expression, with upturned eyebrows and upward curving mouth, is likely to be seen as trustworthy while one resembling an angry expression, with downturned eyebrows, is likely to be seen as untrustworthy.
  • wider faces seen as more competent.
  • ...15 more annotations...
  • For those of us seeking to appear friendly and trustworthy to others, a new study underscores an old, chipper piece of advice: Put on a happy face.
  • the relevance of facial expressions to perceptions of characteristics such as trustworthiness and friendliness.
  • for those faces lacking structural cues, people could no longer perceive strength but could still perceive personality traits based on facial expressions.
  • An analysis revealed that participants generally ranked people with a happy expression as friendly and trustworthy but not those with angry expressions.
  • rank faces as indicative of physical strength based on facial expression but graded faces that were very broad as that of a strong individual.
  • In the first variation, for faces lacking emotional cues, people could no longer perceive personality traits but could still perceive strength based on width
  • perceptions of abilities such as physical strength are not dependent on facial expressions but rather on facial bone structure.
  • As might be expected, participants picked faces with happier expressions as financial advisors and selected broader faces as belonging to power-lifting champs.
  • Most of the participants found the computer-generated averages to be good representations of trustworthiness or strength — and generally saw the average “financial advisor” face as more trustworthy and the “power-lifter” face as stronger.
  • he findings suggest facial expressions strongly influence perception of traits such as trustworthiness, friendliness or warmth, but not ability (strength, in these experiments).
  • facial structure influences the perception of physical ability but not intentions (such as friendliness and trustworthiness, in this instance)
  • this new work reveals how perceptions of the same person can vary greatly depending on that person’s facial expression in any given moment
  • The findings above come with a big caveat: Only male faces were shown to subjects.
  • Studies of facial width and height in females have shown mixed results, so presenting study subjects with a mix of male and female faces would have yielded inconclusive results.
  • In our everyday lives this study and others make clear that although we might try to influence others’ perceptions of us with photos showing us donning sharp attire or displaying a self-assured attitude, the most important determinant of others' perception of and consequent behavior toward us is our faces.
proudsa

Hillary Clinton Sets Up A Fight With Bernie Sanders Over Paid Leave - 0 views

www.huffingtonpost.com/...leave_568f2e27e4b0a2b6fb6f8d81

shared by proudsa on 08 Jan 16 - No Cached
  • Democratic presidential candidate Hillary Clinton on Thursday offered new details about her plan to make sure all workers can take time off, with pay, in order to care for a newborn or sick relative.
  • During that time, the worker would be eligible to receive replacement wages, up to two-thirds of his or her salary.
  • The proposal, if enacted, would patch a major gap in America’s safety net. Workers in every other developed country are entitled to paid leave, in some cases for more than a year.
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  • Some companies provide paid leave anyway. In the last year, high-profile employers like Facebook and Goldman Sachs introduced or expanded paid leave for their employees.
  • But Clinton’s proposal differs from the bill in one crucial way. In order to finance the replacement wages that workers would get, the Gillibrand-DeLauro bill would impose a small payroll tax, of 0.4 percent, that employers and employees would split evenly.
  • Clinton has criticized that approach repeatedly because it would mean higher taxes on lower- and middle-income workers.
  • Sen. Marco Rubio (R-Fla.), the only Republican presidential candidate to address the issue formally, has said he’d offer small tax breaks to companies that offer paid leave -- an approach unlikely to have much impact, except perhaps to help well-off workers.
  • “The benefit of being one of the last countries in the world to adopt paid maternity leave is that we have been able to learn from other countries' experiences and the results are clear,” Betsey Stevenson, a University of Michigan economist and former adviser to President Barack Obama, told the Huffington Post on Thursday.
  • To advocates like Heather Boushey, chief economist and executive director of the Washington Center for Equitable Growth, that’s a welcome sign that American politics is finally talking about the challenges of parents who also have jobs.
Javier E

Science and gun violence: why is the research so weak? [Part 2] - Boing Boing - 1 views

boingboing.net/...guns.html

social science results methods experiment test research modeling assumption global warming guns public policy

shared by Javier E on 10 Mar 13 - No Cached
  • Scientists are missing some important bits of data that would help them better understand the effects of gun policy and the causes of gun-related violence. But that’s not the only reason why we don’t have solid answers. Once you have the data, you still have to figure out what it means. This is where the research gets complicated, because the problem isn’t simply about what we do and don’t know right now. The problem, say some scientists, is that we —from the public, to politicians, to even scientists themselves—may be trying to force research to give a type of answer that we can’t reasonably expect it to offer. To understand what science can do for the gun debates, we might have to rethink what “evidence-based policy” means to us.
  • For the most part, there aren’t a lot of differences in the data that these studies are using. So how can they reach such drastically different conclusions? The issue is in the kind of data that exists, and what you have to do to understand it, says Charles Manski, professor of economics at Northwestern University. Manski studies the ways that other scientists do research and how that research translates into public policy.
  • Even if we did have those gaps filled in, Manski said, what we’d have would still just be observational data, not experimental data. “We don’t have randomized, controlled experiments, here,” he said. “The only way you could do that, you’d have to assign a gun to some people randomly at birth and follow them throughout their lives. Obviously, that’s not something that’s going to work.”
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  • This means that, even under the best circumstances, scientists can’t directly test what the results of a given gun policy are. The best you can do is to compare what was happening in a state before and after a policy was enacted, or to compare two different states, one that has the policy and one that doesn’t. And that’s a pretty inexact way of working.
  • Add in enough assumptions, and you can eventually come up with an estimate. But is the estimate correct? Is it even close to reality? That’s a hard question to answer, because the assumptions you made—the correlations you drew between cause and effect, what you know and what you assume to be true because of that—might be totally wrong.
  • It’s hard to tease apart the effect of one specific change, compared to the effects of other things that could be happening at the same time.
  • This process of taking the observational data we do have and then running it through a filter of assumptions plays out in the real world in the form of statistical modeling. When the NAS report says that nobody yet knows whether more guns lead to more crime, or less crime, what they mean is that the models and the assumptions built into those models are all still proving to be pretty weak.
  • From either side of the debate, he said, scientists continue to produce wildly different conclusions using the same data. On either side, small shifts in the assumptions lead the models to produce different results. Both factions continue to choose sets of assumptions that aren’t terribly logical. It’s as if you decided that anybody with blue shoes probably had a belly-button piercing. There’s not really a good reason for making that correlation. And if you change the assumption—actually, belly-button piercings are more common in people who wear green shoes—you end up with completely different results.
  • The Intergovernmental Panel on Climate Change (IPCC) produces these big reports periodically, which analyze lots of individual papers. In essence, they’re looking at lots of trees and trying to paint you a picture of the forest. IPCC reports are available for free online, you can go and read them yourself. When you do, you’ll notice something interesting about the way that the reports present results. The IPCC never says, “Because we burned fossil fuels and emitted carbon dioxide into the atmosphere then the Earth will warm by x degrees.” Instead, those reports present a range of possible outcomes … for everything. Depending on the different models used, different scenarios presented, and the different assumptions made, the temperature of the Earth might increase by anywhere between 1.5 and 4.5 degrees Celsius.
  • What you’re left with is an environment where it’s really easy to prove that your colleague’s results are probably wrong, and it’s easy for him to prove that yours are probably wrong. But it’s not easy for either of you to make a compelling case for why you’re right.
  • Statistical modeling isn’t unique to gun research. It just happens to be particularly messy in this field. Scientists who study other topics have done a better job of using stronger assumptions and of building models that can’t be upended by changing one small, seemingly randomly chosen detail. It’s not that, in these other fields, there’s only one model being used, or even that all the different models produce the exact same results. But the models are stronger and, more importantly, the scientists do a better job of presenting the differences between models and drawing meaning from them.
  • “Climate change is one of the rare scientific literatures that has actually faced up to this,” Charles Manski said. What he means is that, when scientists model climate change, they don’t expect to produce exact, to-the-decimal-point answers.
  • “It’s been a complete waste of time, because we can’t validate one model versus another,” Pepper said. Most likely, he thinks that all of them are wrong. For instance, all the models he’s seen assume that a law will affect every state in the same way, and every person within that state in the same way. “But if you think about it, that’s just nonsensical,” he said.
  • On the one hand, that leaves politicians in a bit of a lurch. The response you might mount to counteract a 1.5 degree increase in global average temperature is pretty different from the response you’d have to 4.5 degrees. On the other hand, the range does tell us something valuable: the temperature is increasing.
  • The problem with this is that it flies in the face of what most of us expect science to do for public policy. Politics is inherently biased, right? The solutions that people come up with are driven by their ideologies. Science is supposed to cut that Gordian Knot. It’s supposed to lay the evidence down on the table and impartially determine who is right and who is wrong.
  • Manski and Pepper say that this is where we need to rethink what we expect science to do. Science, they say, isn’t here to stop all political debate in its tracks. In a situation like this, it simply can’t provide a detailed enough answer to do that—not unless you’re comfortable with detailed answers that are easily called into question and disproven by somebody else with a detailed answer.
  • Instead, science can reliably produce a range of possible outcomes, but it’s still up to the politicians (and, by extension, up to us) to hash out compromises between wildly differing values on controversial subjects. When it comes to complex social issues like gun ownership and gun violence, science doesn’t mean you get to blow off your political opponents and stake a claim on truth. Chances are, the closest we can get to the truth is a range that encompasses the beliefs of many different groups.
bennetttony

Google has banned 200 publishers in the three months since it passed a new policy again... - 0 views

www.recode.net/...vertisers-publishers-fake-news

technology social media bias

shared by bennetttony on 26 Jan 17 - No Cached
  • bennetttony on 26 Jan 17
     
    The company routinely weeds out "bad ads." Now it weeds out more bad ad publishers, too.
sissij

iPhone manufacturer Foxconn plans to replace almost every human worker with robots - Th... - 0 views

www.theverge.com/...ple-iphone-china-manufacturing

technology bias

shared by sissij on 31 Dec 16 - No Cached
  • The first phase of Foxconn’s automation plans involve replacing the work that is either dangerous or involves repetitious labor humans are unwilling to do.
  • In the long term, robots are cheaper than human labor. However, the initial investment can be costly.
  • There is, however, a central side effect to automation that would specifically benefit a company like Foxconn.
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  • So much so in fact that Foxconn had to install suicide netting at factories throughout China and take measures to protect itself against employee litigation.
  • But in doing so, it will ultimately end up putting hundreds of thousands, if not millions, of people out of work.
  • sissij on 31 Dec 16
     
    It has always been debatable that to what extent can robot replace human. Foxconn has long been blamed on how it treats its workers. By replacing human by robots, the company can save a lot of money and avoid a lot of condemnations and lawsuits. I think robots are definitely going to replace human on dangerous and tired work, but it is very important that the society is prepared for that change. The government should improve the education so that people can explore other possibilities of what they can do. --Sissi (12/31/2016)
Javier E

Facebook's Troubling One-Way Mirror - The New York Times - 1 views

www.nytimes.com/...-troubling-one-way-mirror.html

facebook psychology social media

shared by Javier E on 23 May 16 - No Cached
  • If you bothered to read the fine print when you created your Facebook account, you would have noticed just how much of yourself you were giving over to Mark Zuckerberg and his $340 billion social network.
  • In exchange for an admittedly magical level of connectivity, you were giving them your life as content — the right to run ads around video from your daughter’s basketball game; pictures from your off-the-chain birthday party, or an emotional note about your return to health after serious illness. You also gave them the right to use your information to help advertisers market to you
  • at the heart of the relationship is a level of trust and a waiving of privacy that Facebook requires from its users as it pursues its mission to “make the world more open and connected.”
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  • how open is Facebook willing to be in return?
  • not very.
  • that should concern anyone of any political persuasion as Facebook continues to gain influence over the national — and international — conversation
  • Increasingly, those users are spending time on Facebook not only to share personal nuggets with friends, but, for more than 40 percent of American adults, according to Pew Research Center, to stay on top of news
  • It now has an inordinate power to control a good part of the national discussion should it choose to do so, a role it shares with Sili
  • There was the initial statement that Facebook could find “no evidence” supporting the allegations; Facebook said it did not “insert stories artificially” into the Trending list, and that it had “rigorous guidelines” to ensure neutrality. But when journalists like my colleague Farhad Manjoo asked for more details about editorial guidelines, the company declined to discuss them.
  • Only after The Guardian newspaper obtained an old copy of the Trending Topics guidelines did Facebook provide more information, and an up-to-date copy of them. (They showed that humans work with algorithms to shape the lists and introduce headlines on their own under some circumstances, contradicting Facebook’s initial statement, Recode noted.) It was openness by way of a bullet to the foot.
  • a more important issue emerged during the meeting that had been lying beneath the surface, and has been for a while now: the power of the algorithms that determine what goes into individual Facebook pages.
  • “What they have is a disproportionate amount of power, and that’s the real story,” Mr. Carlson told me. “It’s just concentrated in a way you’ve never seen before in media.”
  • What most people don’t realize is that not everything they like or share necessarily gets a prominent place in their friends’ newsfeeds: The Facebook algorithm sends it to those it determines will find it most engaging.
  • For outlets like The Daily Caller, The Huffington Post, The Washington Post or The New York Times — for whom Facebook’s audience is vital to growth — any algorithmic change can affect how many people see their journalism.
  • This gives Facebook enormous influence over how newsrooms, almost universally eager for Facebook exposure, make decisions and money. Alan Rusbridger, a former editor of The Guardian, called this a “profound and alarming” development in a column in The New Statesman last week.
  • , Facebook declines to talk in great detail about its algorithms, noting that it does not want to make it easy to game its system. That system, don’t forget, is devised to keep people on Facebook by giving them what they want
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