Researchers from the Media Lab and Sloan found that humans are more likely than bots to be “responsible for the spread of fake news,” writes Paul Chadwick for The Guardian. “More openness by the social media giants and greater collaboration by them with suitably qualified partners in tackling the problem of fake news is essential.”
In an op-ed for The Washington Post, Megan McArdle shares her thoughts on research from the Media Lab and Sloan that identifies “fake news” as traveling six times faster than factual news. “The difference between social media and ‘the media’ is that the gatekeeper model…does care more about the truth than ‘the narrative,’” McArdle writes.
Jordan Webber of The Guardian addresses the rise of “fake news”, citing research from the Media Lab and Sloan. “I believe that social media is a turning point in human communication,” said Sloan Prof. Sinan Aral. “I believe it is having dramatic effect on our democracies, our politics, even our health.”
Larry Greenemeier of Scientific American writes about a study from researchers at Sloan and the Media Lab that finds “false news” is “70% more likely to be retweeted than information that faithfully reports actual events.” “Although it is tempting to blame automated “bot” programs for this,” says Greenemeier, “human users are more at fault.”
Robin Young and Femi Oke of WBUR’s Here and Now highlight research from Sloan and the Media Lab that shows how quickly false news travels the internet. “We [also] found that false political news traveled farther, faster, deeper, and more broadly than any other type of false news,” says Prof. Sinan Aral.
Researchers from Sloan and the Media Lab examined why false news spreads on Twitter more quickly than factual information. “Twitter bots amplified true stories as much as they amplified false ones,” writes Robinson Meyer for The Atlantic. “Fake news prospers, the authors write, ‘because humans, not robots, are more likely to spread it.’”
Prof. Sinan Aral writes for The New York Times about research he co-authored with Postdoc Soroush Vousaghi and Associate Prof. Deb Roy, which found that false news spreads “disturbingly” faster than factual news. “It could be, for example, that labeling news stories, in much the same way we label food, could change the way people consume and share it,” writes Aral.
A study co-authored by Prof. David Autor finds that over the past five decades, automation has helped increase total employment, but wages have not increased, reports The Wall Street Journal’s Eric Morath. According to Autor, the findings help explain “why inequality between the world’s wealthiest and everyday workers has increased.”
An article in The Economist states that new research by MIT grad student Joy Buolamwini supports the suspicion that facial recognition software is better at processing white faces than those of other people. The bias probably arises “from the sets of data the firms concerned used to train their software,” the article suggests.
Dave Gershgorn writes for Quartz, highlighting congress’ concerns around the dangers of inaccurate facial recognition programs. He cites Joy Buolamwini’s Media Lab research on facial recognition, which he says “maintains that facial recognition is still significantly worse for people of color.”
Researchers in CSAIL are developing a steering program for drones that allows them to process uncertainty and avoid hitting objects while flying autonomously. Called Nanomap, the drone uses depth measurements to determine the safest path. “This technique creates an on the fly map that lets the drone handle uncertainty as opposed to being ready in every situation,” writes John Biggs for TechCrunch.
Skydio, an autonomous drone startup founded by a group of MIT alumni, has showcased a new drone that can lock-on, follow and record its subject, writes Lucas Matney of TechCrunch. One possible use for the device is to “launch the drone, lock onto yourself, and ski down a mountain while the R1 tracked you to the bottom while capturing 4K footage,” Matney explains.
Graduate student Joy Buolamwini tested three different face-recognition systems and found that the accuracy is best when the subject is a lighter skinned man, reports Timothy Revell for New Scientist. With facial recognition software being used by police to identify suspects, “this means inaccuracies could have consequences, such as systematically ingraining biases in police stop and searches,” writes Revell.
Skydio, a startup founded by MIT alumni, will soon begin shipping its new autonomous drone, the R1, which has the ability to lock-in and record a subject in 4K video while avoiding obstacles. “Drones that fly themselves — whether following people for outdoor self-photography, which is Skydio’s intended use, or for longer-range applications like delivery, monitoring and surveillance — are coming faster than you think,” writes Farhad Manjoo for the New York Times.
EdX has witnessed growing interest in its MicroMasters certificates, which are “online, examined and graded, credit-eligible graduate-level courses that involve about a quarter of the coursework of a traditional Masters degree,” writes Adam Gordon of Forbes. As edX CEO Prof. Anant Agarwal explains, “Learning once and working for the next 30 years is obsolete; we need to move to a world where re-skilling becomes part of the culture.”