Writing for The Conversation, Prof. Tauhid Zaman discusses his research showing how a small number of very active social media bots can have a significant impact on public opinion. Zaman notes that his findings are “a reminder to be careful about what you read – and what you believe – on social media.”
Researchers from MIT and the Qatar Computing Research Institute have developed a machine learning tool that can identify fake news, reports Steven Melendez for Fast Company. Melendez writes that the system “uses a machine learning technique known as support vector machines to learn to predict how media organizations will be classified by Media Bias/Fact Check.”
Vox reporter Zack Beauchamp highlights a study co-authored by Prof. Ezra Zuckerman Sivan that finds voters often support a politician they recognize is lying when the politician is viewed as upholding a specific group’s best interests. Zuckerman Sivan explains that the lies are seen as “as a tool for expressing a larger truth.”
Research affiliate Tim Hwang speaks with Aaron Mak of Slate about whether Google is suppressing conservative media outlets in search results. “I don’t think the question is whether or not it’s biased. All these systems embed some kind of bias,” explains Hwang. “The question is: Do we have transparency to how some of these decisions are being made?”
In an article for the Pacific Standard about dispelling rumors and conspiracy theories, Nathan Collins highlights research by Prof. Adam Berinsky examining how information sources impact voters. “People speaking against their interests [are] more credible,” Berinsky explains. “What’s more credible: the surgeon general or McDonald’s saying you shouldn’t eat French fries?”
Prof. Simon Johnson speaks with Ailsa Chang of NPR’s All Things Considered about the Trump administration’s plan to remove tariffs and trade barriers with the European Union. Johnson says a zero-tariff agreement would allow the U.S. to become more integrated with Europe.
TechCrunch reporter Sarah Perez spotlights Outfit, a startup co-founded by MIT alumnus Nadeem Mazen that is aimed at making grassroots-style political campaigning easier. Perez explains that Outfit “helps individual voters reach out to their own personal acquaintances, family and friends.”
In an article for The Boston Globe, Amy Carleton, a lecturer in the comparative media studies/writing program, writes about the jacket First Lady Melanie Trump wore to visit a shelter for migrant children. Carleton posits that the First Lady, “has demonstrated that she is well-versed in the rhetorical power that fashion possesses.”
Canadian prime minister Justin Trudeau stressed the importance of investing in artificial intelligence at the MIT Solve conference, reports the Associated Press. Trudeau noted that “leaders also have a responsibility to shape the rules and principles to guide the development of artificial intelligence.”
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.’”