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.
Prof. Sherry Turkle speaks with Judi Ketteler at the New York Times about how to introduce your children to social media. “Spend some time introducing your child to social media, the same way you introduce them to your neighborhood,” said Turkle. “It is simply now part of parenting.”
The MIT Museum and MIT List Visual Arts Center were two of 18 Boston-area museums that participated in this year’s #BostonInstaSwap. Each museum sent an employee to another local institution where they were “tasked with snapping and sharing pictures from the scene, highlighting exhibits and giving their followers a different experience,” writes Steve Annear for The Boston Globe.
Valentina Zarya writes for Fortune that MIT researchers have developed an AI system that can generate horror stories. The system, named Shelley, learned its craft by reading a Reddit forum containing stories from amateur horror writers. The bot, Shelley, also tweets a line for a new story every hour, encouraging Twitter users to continue the story.
MIT Media Lab researchers have created an AI program that can write horror stories in collaboration with humans via Twitter, reports David Wade for CBS Boston. “Over time, we are expecting her to learn more from the crowd, and to create even more scarier stories,” says postdoctoral associate Pinar Yanardag.
MIT researchers have developed an artificial neural network that can generate horror stories by collaborating with people on Twitter, HuffPost reports. Pinar Yanardag, a postdoc at the Media Lab, explains that the system is, “creating really interesting and weird stories that have never really existed in the horror genre.”
Associated Press reporter Matt O’Brien details how Media Lab researchers have developed a new system, dubbed Shelley, that can generate scary stories. O’Brien explains that, “Shelley's artificial neural network is generating its own stories, posting opening lines on Twitter, then taking turns with humans in collaborative storytelling.”
Newsweek reporter Joseph Frankel writes that MIT Media Lab researchers have developed an AI system named Shelley that uses human input to write short horror stories. Frankel explains that Shelley, “tweets out one or two sentences as the start of a new horror story, then calls for users to respond with their own lines.”
Researchers from MIT’s Urban Risk Lab piloted a free online tool that crowdsources social media posts to map flood conditions during Hurricane Irma, writes Frankie Schembri for NOVA Next. “Residents often have the best information about the situation near them,” explains research scientist Tomas Holderness, “and we now have the network to be able to collect information.”
Writing for Wired, Prof. Ethan Zuckerman and Chelsea Barabas and Neha Narula of the Digital Currency Initiative address the difficulties in creating decentralized social media networks. “If users have more control of their data, including the right to export and reuse content they’ve created and friends they follow, they’ll be more willing to experiment with new platforms,” the researchers suggest.