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Mashable

A new working paper by researchers from MIT and Yale finds that “80 percent of Americans think social media companies should take action to reduce the spread of misinformation,” reports Rachel Kraus for Mashable. “Our data suggests [Musk’s views] are not representative,” says Prof. David Rand. "A lot of people in Silicon Valley have this kind of maybe libertarian, extreme free speech orientation that I don't think is in line with actually how most Americans and social media platform users think about things."

Motherboard

A new study by MIT researchers finds that correcting people who were spreading misinformation on Twitter led to people retweeting and sharing even more misinformation, reports Matthew Gault for Motherboard. Prof. David Rand explains that the research is aimed at identifying “what kinds of interventions increase versus decrease the quality of news people share. There is no question that social media has changed the way people interact. But understanding how exactly it's changed things is really difficult.” 

Fortune- CNN

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.

CBS Boston

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.

HuffPost

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

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.”

The New York Times

Jesse Lichtenstein writes for The New York Times about Jonny Sun, a PhD candidate in DUSP, whose humorous Twitter feed, “jomny sun,” has become increasingly popular for offering “comfort, whimsy and an alternative to the rage/panic/schadenfreude/political flame-warring of much online discourse.” “Twitter is often thought of as a shallow, superficial thing,” said Sun, but “there’s a lot of honest pathos and humanity in it.”

WBUR

WBUR’s Asma Khalid highlights how MIT researchers have developed a tool that allows people to see the social media world of other users. Grad student Martin Saveski explains that the project was aimed at connecting people with differing viewpoints, noting that beyond politics there are “many other things that we may have in common.”

Fox News

Saqib Shah writes for FOX News that researchers from the Media Lab’s Electome project are launching an interactive tool “that compares tweets shared by the White House with a sampling of those shared by the public.”

The Washington Post

Scott Clement of The Washington Post writes that researchers at the Laboratory for Social Machines have found that while the majority of Twitter conversation concerning the presidential campaign has centered around Donald Trump over the past week and a half, “battlegrounds differed in what particular issues or themes they focused on.”

The Washington Post

MIT researchers have found that immigration has been dominating election conversations on Twitter, writes John West in a Washington Post article. “Tweets on immigration soared to almost 60 percent of the election-related Twitter conversation after Donald Trump’s statements about a potential 'softening', his visit to Mexico and then his address on the topic.”

The Washington Post

Using data compiled by the Media Lab’s Laboratory for Social Machines concerning Twitter conversation before and after the mass shooting in Orlando, Aaron Blake of The Washington Post shows that political priorities leading up to the presidential election “may depend heavily on world and domestic events that nobody can predict.”

Reuters

In an article for Reuters, James Saft writes that MIT researchers have found that analyzing Twitter sentiment can provide useful information for investors. “We exploit a new dataset of tweets referencing the Federal Reserve and show that the content of tweets can be used to predict future returns,” Prof. Andrew Lo and grad student Pablo Azar explain.

The Washington Post

Washington Post reporter Scott Clement compares the results of an analysis performed by MIT researchers of key issues on Twitter in the 2016 presidential race to a national survey. The researchers found that foreign policy and race are key issues on Twitter, while the national survey found that the economy and jobs were top priorities for voters. 

The Washington Post

Researchers from the Laboratory for Social Machines have partnered with The Washington Post to examine how people are discussing the current presidential election on Twitter. The researchers use a program that detects and categorizes tweets “to see which issues or candidates have had the biggest share of the conversation.”