A new study by MIT economists finds that sleeping more may not improve performance or well-being, especially if night-time sleeping is often interrupted, reports Arianne Cohen for Fast Company. “The researchers say their findings suggest that sleep quality may be essential,” writes Cohen. “Participants experienced many nightly sleep interruptions, a saga familiar to anyone who lives with children.”
Salon reporter Amanda Marcotte spotlights a study by MIT researchers that finds correcting misinformation on social media platforms often leads to people sharing more misinformation. Research affiliate Mohsen Mosleh explains that after being corrected Twitter users " retweeted news that was significantly lower in quality and higher in partisan slant, and their retweets contained more toxic language."
Fast Company reporter Elizabeth Segran writes that a new study by MIT Prof. Jackson Lu finds that mask wearing is more prevalent in communities in the U.S. with higher levels of collectivism. “It’s important to understand how culture fundamentally shapes how people respond not only to this pandemic, but to future crises as well,” says Lu.
A new study co-authored by MIT Prof. Jackson Lu finds that a community’s level of collectivism influences whether someone is willing to wear a mask, reports Cara Murez for U.S. News & World Report. “The role of collectivism could be studied in other crises, such as wildfires or hurricanes,” notes Murez, adding that the researchers “felt it would be important to study whether the pandemic itself has affected the sense of collectivism or individualism.”
Fast Company reporter Arianne Cohen writes that a new study by MIT researchers explores how polite corrections to online misinformation can lead to further sharing of incorrect information. The researchers found that after being politely corrected for sharing inaccurate information, “tweeters’ accuracy declined further—and even more so when they were corrected by someone matching their political leanings.”
A new study by MIT researchers finds that attempting to correct misinformation on social media can lead to users sharing even less accurate information, reports Hiawatha Bray for The Boston Globe. “Being publicly corrected by another person makes them less attentive to what they retweet,” explains Prof. David Rand, “because it shifts their attention not to accuracy but toward social things like being embarrassed.”
Prof. Evan Lieberman speaks with Craig LeMoult of GBH about his new study, which finds there are mixed reactions when people are informed of the racial disparities in Covid-19 outcomes in the U.S. “We are so interconnected as a society - economically, socially, politically,” says Lieberman, “and [it’s important] to remind everyone that we are all potential vectors for this epidemic so it really behooves all of us to cooperate and to be able to end this pandemic as soon as possible.”
A new study by MIT researchers finds that political beliefs can help bring people together on social media networks, reports Brooke Crothers for Fox News. On both sides, users were roughly three times more likely to form social ties with strangers who identify with the same party, compared to "counter-partisans.”
Prof. Sinan Aral’s new book, “The Hype Machine,” has been selected as one of the best books of the year about AI by Wired. Gilad Edelman notes that Aral’s book is “an engagingly written shortcut to expertise on what the likes of Facebook and Twitter are doing to our brains and our society.”
Prof. Sinan Aral speaks with Danny Crichton of TechCrunch about his new book, “The Hype Machine,” which explores the future of social media. Aral notes that he believes a starting point “for solving the social media crisis is creating competition in the social media economy.”
Prof. Sinan Aral speaks with New York Times editorial board member Greg Bensinger about how social media platforms can reduce the spread of misinformation. “Human-in-the-loop moderation is the right solution,” says Aral. “It’s not a simple silver bullet, but it would give accountability where these companies have in the past blamed software.”
Prof. Sinan Aral speaks with Kara Miller of GBH’s Innovation Hub about his research examining the impact of social media on everything from business re-openings during the Covid-19 pandemic to politics.
Prof. Sinan Aral speaks with NPR’s Michael Martin about his new book, “The Hype Machine,” which explores the benefits and downfalls posed by social media. “I've been researching social media for 20 years. I've seen its evolution and also the techno utopianism and dystopianism,” says Aral. “I thought it was appropriate to have a book that asks, 'what can we do to really fix the social media morass we find ourselves in?'”
New York Times reporter Benedict Carey spotlights a new study co-authored by Prof. Drazen Prelec that examines lying and cheating patterns.
MIT researchers have developed an AI system that can predict Alzheimer’s risk by forecasting how patients will perform on a test measuring cognitive decline up to two years in advance, reports Casey Ross for STAT.