Social media

Prof. David Karger speaks with GBH’s Morning Edition host Mark Herz about the development of new AI tools, the need for generative AI regulation and the importance of transparency when it comes to AI-generated content. "I think we need to involve more entities, more people, more sources in the fact-checking process,” says Karger. “We need to figure out how to ensure that that fact checking can propagate into the platforms, even though the platforms are not doing the fact checking themselves.” 

Writing for The Boston Globe, graduate student Jonah Prousky highlights the benefits and drawbacks of social media bans, and ways to protect kids from online harms. “We likewise need a cultural reckoning on screen time for kids, since heavy use is associated with anxiety, depression, attention fragmentation, and sleep deprivation,” writes Prousky. “Australia demonstrated that a law can be used to get the ball rolling.” 

Prof. Earl Miller speaks with National Geographic reporter Dana Binfet about the impact of increased social media and digital platform use on the brain. “Brain rot is not really rotting our brains,” explains Miller. “It’s constantly creating an environment that our brains are not equipped to deal with—that's the real problem. We’re single-minded creatures and when all this information is coming at us, we want to consume everything and it’s hard to turn off that desire.”

Writing for The Guardian, Prof. Carlo Ratti highlights his work using “AI to compare footage of public spaces from the 1970s with recent video” from the same locations in Boston, New York and Philadelphia. “The findings are striking: people walk faster, linger less, and are less likely to meet up,” explains Ratti. “By using AI to study urban public spaces, we can gather data, pick out patterns and test new designs that could help us rethink, for our time, our modern versions of the agora– the market and main public gathering place of Athens.” 

A study by researchers at MIT has found that “pedestrians are walking 15 percent faster and stopping to linger 14 percent less than they used to,” reports Rima Sabina Aouf for Dezeen. “Using computer vision and artificial intelligence to analyze videos of four public spaces across three American cities, the study found that walking speeds rose notably between 1980 and 2010, while instances of people lingering or interacting with others fell,” writes Aouf. 

Researchers at MIT have found that “pedestrians in three major northeastern U.S. cities – Boston, New York and Philadelphia —are moving 15 percent faster than they did in 1980,” reports Lucy Notarantonio for Newsweek. Notarantonio explains that: “The researchers hope their work will inform how cities design and redesign public areas — especially at a time when digital polarization is reshaping how people connect in real life.”

In his new book, “The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence,” Prof. Benjamin Mangrum explores how comedy can be a useful tool in a world “increasingly shaped by algorithms, automation, and artificial intelligence,” reports Ed Publica. “As we move deeper into an era of smart machines, digital identities, and algorithmic decision-making, Mangrum’s book reminds us that a well-placed joke might still be one of our most human responses,” they write.

A new study co-authored by Prof. David Rand found that there was a “20 percent reduction in belief in conspiracy theories after participants interacted with a powerful, flexible, personalized GPT-4 Turbo conversation partner,” writes Annie Duke for The Washington Post. “Participants demonstrated increased intentions to ignore or unfollow social media accounts promoting the conspiracies, and significantly increased willingness to ignore or argue against other believers in the conspiracy,” writes Duke. “And the results appear to be durable, holding up in evaluations 10 days and two months later.”

In commentary for Newsweek, Prof. Sherry Turkle explores the consequences of Facebook’s announcement that the company would no longer conduct fact-checking. “Facebook is a major influencer of culture and politics,” says Turkle. “It did everything to put itself into this position. Once there, to argue that it's not and say that its users are responsible for moving its content in the direction of truth is irresponsible.” 

Prof. David Rand speaks with Wired reporter Brian Barrett about the implications of Meta’s new “community notes” system in addressing bias on social media platforms. “The motivator for all of this changing of Meta’s policies and Musk’s takeover of Twitter is this accusation of social media companies being biased against conservatives,” says Rand. “There’s just not good evidence of that.”

Hank Green - an online educator, author and Youtuber will deliver the 2025 OneMIT Commencement address, reports Molly Farrar for Boston.com.  Green is “the creator of VidCon, the world’s largest annual gathering of digital content creators,” writes Farrar. “He and his brother also created SciShow and Crash Course, two YouTube education shows played in high school classrooms.” 

Graduate student Nouran Soliman speaks with NBC Boston about the use of “personhood credentials,” a new technique that can be used to verify online users as human beings to help combat issues such as fraud and misinformation. “We are trying to also think about ways of implementing a system that incorporates personal credentials in a decentralized way,” explains Soliman. “It's also important not to have the power in one place because that compromises democracy.” 

Researchers from MIT and Oxford University has found “social media platforms’ suspensions of accounts may not be rooted in political biases, but rather certain political groups’ tendency to share misinformation,” reports Miranda Nazzaro for The Hill. “Thus, even under politically neutral anti-misinformation polices, political asymmetries in enforcement should be expected,” researchers wrote. “Political imbalance in enforcement need not imply bias on the part of social media companies implementing anti-misinformation polices.” 

Prof. David Rand speaks with New York Times reporters Tiffany Hsu and Stuart A. Thompson about the challenges of stopping the spread of misinformation. “It seems like an easy enough problem: there’s the true stuff and there’s the false stuff, and if the platforms cared about it, they would just get rid of the false stuff,” says Rand. “Then we started working on it and it was like, ‘Oh God.’ It’s actually way more complicated.”

Postdoc Xuhai Xu and his colleagues have developed an AI program that can distribute pop-up reminders to help limit smartphone screen time, reports Jeremy Hsu for New Scientist. Xu explains that “a random notification to stop doomscrolling won’t always tear someone away from their phone. But machine learning can personalize that intervention so it arrives at the moment when it is most likely to work,” writes Hsu.