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Lawrence Hrubes

What You Look Like to a Social Network - 0 views

www.newyorker.com/...api

TOK technology social network media

shared by Lawrence Hrubes on 16 Dec 13 - No Cached
  • Lawrence Hrubes on 16 Dec 13
     
    "This infographic allows you to explore the categories of information that various social networks make available to other applications."
Michael Peters

How Blogging And Twitter Are Making Us Smarter : All Tech Considered : NPR - 0 views

www.npr.org/...-twitter-are-making-us-smarter

blogging npr

shared by Michael Peters on 23 Apr 14 - No Cached
  • Michael Peters on 23 Apr 14
     
    The nuturing effect of social media networks.
markfrankel18

In a bad mood? Head to Facebook and find someone worse off -- ScienceDaily - 1 views

www.sciencedaily.com/...141002123058.htm

TOK technology psychology

shared by markfrankel18 on 07 Oct 14 - No Cached
  • When people are in a bad mood, they are more likely to actively search social networking sites like Facebook to find friends who are doing even worse than they are, a new study suggests. "One of the great appeals of social network sites is that they allow people to manage their moods by choosing who they want to compare themselves to," the authors said.
Lawrence Hrubes

Fighting ISIS With an Algorithm, Physicists Try to Predict Attacks - The New York Times - 0 views

www.nytimes.com/...ts-try-to-predict-attacks.html

science math human sciences SocialScience prediction terrorism social networks

shared by Lawrence Hrubes on 20 Jun 16 - No Cached
  • And with the Islamic State’s prolific use of social media, terrorism experts and government agencies continually search for clues in posts and Twitter messages that appear to promote the militants’ cause.A physicist may not seem like an obvious person to study such activity. But for months, Neil Johnson, a physicist at the University of Miami, led a team that created a mathematical model to sift order from the chaotic pro-terrorism online universe.
  • The tracking of terrorists on social media should take a cue from nature, Dr. Johnson said, where “the way transitions happen is like a flock of birds, a school of fish.”
  • The researchers also said there might be a spike in the formation of small online groups just before an attack takes place.
  • ...1 more annotation...
  • Both Mr. Berger and Ms. Patel noted a tricky question raised by the research: When is it best to try to suppress small groups so they do not mushroom into bigger groups, and when should they be left to percolate? Letting them exist for a while might be a way to gather intelligence, Ms. Patel said.
Lawrence Hrubes

History News Network | When Did "the '60s" Begin? A Cautionary Tale for Historians - 1 views

hnn.us/153290

TOK history

shared by Lawrence Hrubes on 05 Feb 14 - No Cached
  • Lawrence Hrubes on 05 Feb 14
     
    "That's what historians do: look back and see things that people at the time couldn't see. It's a job well worth doing. But it's equally important that we don't confuse the early seeds of a major political, social, and cultural change with the substance of the change itself. If we make that mistake, we miss the most important lesson... The seeds can be all around us, yet the change itself remains unexpected, invisible, even unimaginable to most people at the time."
Lawrence Hrubes

A Dig Through Old Files Reminds Me Why I'm So Critical of Science | Cross-Check, Scient... - 1 views

blogs.scientificamerican.com/...-why-im-so-critical-of-science

TOK science skepticism

shared by Lawrence Hrubes on 08 Nov 13 - No Cached
  • Lawrence Hrubes on 08 Nov 13
     
    "Arguably the biggest meta-story in science over the last few years-and one that caught me by surprise-is that much of the peer-reviewed scientific literature is rotten. A pioneer in exposing this vast problem is the Stanford statistician John Ioannidis, whose blockbuster 2005 paper in PLOS Medicine presented evidence that "most current published research findings are false." Discussing his findings in Scientific American two years ago, Ioannidis writes: "False positives and exaggerated results in peer-reviewed scientific studies have reached epidemic proportions in recent years. The problem is rampant in economics, the social sciences and even the natural sciences, but it is particularly egregious in biomedicine.""
Lawrence Hrubes

What Google Learned From Its Quest to Build the Perfect Team - The New York Times - 1 views

www.nytimes.com/...to-build-the-perfect-team.html

human sciences psychology communication

shared by Lawrence Hrubes on 29 Feb 16 - No Cached
  • Five years ago, Google — one of the most public proselytizers of how studying workers can transform productivity — became focused on building the perfect team. In the last decade, the tech giant has spent untold millions of dollars measuring nearly every aspect of its employees’ lives. Google’s People Operations department has scrutinized everything from how frequently particular people eat together (the most productive employees tend to build larger networks by rotating dining companions) to which traits the best managers share (unsurprisingly, good communication and avoiding micromanaging is critical; more shocking, this was news to many Google managers).The company’s top executives long believed that building the best teams meant combining the best people. They embraced other bits of conventional wisdom as well, like ‘‘It’s better to put introverts together,’’ said Abeer Dubey, a manager in Google’s People Analytics division, or ‘‘Teams are more effective when everyone is friends away from work.’’ But, Dubey went on, ‘‘it turned out no one had really studied which of those were true.’’In 2012, the company embarked on an initiative — code-named Project Aristotle — to study hundreds of Google’s teams and figure out why some stumbled while others soared.
  • As they struggled to figure out what made a team successful, Rozovsky and her colleagues kept coming across research by psychologists and sociologists that focused on what are known as ‘‘group norms.’’
  • As the researchers studied the groups, however, they noticed two behaviors that all the good teams generally shared. First, on the good teams, members spoke in roughly the same proportion, a phenomenon the researchers referred to as ‘‘equality in distribution of conversational turn-taking.’’ On some teams, everyone spoke during each task; on others, leadership shifted among teammates from assignment to assignment. But in each case, by the end of the day, everyone had spoken roughly the same amount. ‘‘As long as everyone got a chance to talk, the team did well,’’ Woolley said. ‘‘But if only one person or a small group spoke all the time, the collective intelligence declined.’’Second, the good teams all had high ‘‘average social sensitivity’’ — a fancy way of saying they were skilled at intuiting how others felt based on their tone of voice, their expressions and other nonverbal cues. One of the easiest ways to gauge social sensitivity is to show someone photos of people’s eyes and ask him or her to describe what the people are thinking or feeling — an exam known as the Reading the Mind in the Eyes test. People on the more successful teams in Woolley’s experiment scored above average on the Reading the Mind in the Eyes test. They seemed to know when someone was feeling upset or left out. People on the ineffective teams, in contrast, scored below average. They seemed, as a group, to have less sensitivity toward their colleagues.
markfrankel18

Jaron Lanier on Lack of Transparency in Facebook Study - NYTimes.com - 0 views

www.nytimes.com/...parency-in-facebook-study.html

TOK technology ethics psychology

shared by markfrankel18 on 01 Jul 14 - No Cached
  • SHOULD we worry that technology companies can secretly influence our emotions? Apparently so.
  • It is unimaginable that a pharmaceutical firm would be allowed to randomly, secretly sneak an experimental drug, no matter how mild, into the drinks of hundreds of thousands of people, just to see what happens, without ever telling those people. Imagine a pharmaceutical researcher saying, “I was only looking at a narrow research question, so I don’t know if my drug harmed anyone, and I haven’t bothered to find out.” Unfortunately, this seems to be an acceptable attitude when it comes to experimenting with people over social networks. It needs to change.
  • Research with human subjects is generally governed by strict ethical standards, including the informed consent of the people who are studied. Facebook’s generic click-through agreement, which almost no one reads and which doesn’t mention this kind of experimentation, was the only form of consent cited in the paper. The subjects in the study still, to this day, have not been informed that they were in the study. If there had been federal funding, such a complacent notion of informed consent would probably have been considered a crime. Subjects would most likely have been screened so that those at special risk would be excluded or handled with extra care.
  • ...1 more annotation...
  • Stealth emotional manipulation could be channeled to sell things (you suddenly find that you feel better after buying from a particular store, for instance), but it might also be used to exert influence in a multitude of other ways.
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