A study co-authored by MIT researchers finds that asking social media users to evaluate the accuracy of news headlines can reduce the spread of Covid-19 misinformation. “Asking users to rate content gets them to think about accuracy and generates useful input for the platforms,” explains Prof. David Rand.
Inspired by the interference in the 2016 U.S. presidential election, researchers at MIT have developed a “four-point strategy to understand the impact of fake news and social-media manipulation,” reports Annalisa Merelli for Quartz. Prof. Sinan Aral notes that “granting data access for analysis while otherwise maintaining strong protection of it would be vital” in order for the strategy to be used properly.
In an article about how the social messaging app WhatsApp could have a large influence on the upcoming election in India, the Financial Times spotlights postdoctoral associate Kiran Garimella’s work examining how misinformation spreads in India through platforms such as WhatsApp.
NBC News reporter Jacob Ward highlights how researchers from MIT, the Metropolitan Museum of Art and Microsoft are developing a system that can help predict which pieces of art could most appeal to people based on their social media profiles and preferences.
Washington Post reporter Taylor Telford highlights a working paper by MIT researchers that examines how misinformation about vaccines spreads on social media. “The majority of misinformation about vaccines is spread by individuals,” explains Prof. Catherine Tucker. “That is a far harder problem to solve, as trying to clamp down on that kind of social sharing has tensions with trying to preserve free speech.”
HealthDay reporter Steven Reinberg writes that a new study by Prof. Siqi Zheng finds that air pollution can make people unhappy. Zheng found that, “On days with high levels of pollution, people are more likely to engage in impulsive and risky behavior that they may later regret, possibly because of short-term depression and anxiety,” writes Reinberg.
Inverse reporter Emma Betuel reports on a new study by MIT researchers showing that air quality impacts the happiness of people living in cities in China. “When the air is polluted people stay home, they don’t go out, and they order food delivery while staying home playing computer games and shopping online,” explains Prof. Siqi Zheng.
By analyzing posts on social media in China, Prof. Siqi Zheng has found that air pollution can cause increased levels of depression and unhappiness, reports Adele Peters for Fast Company. “We want to show that there’s a wider range of the social cost of air pollution,” explains Zheng.
In an article for The New York Times, Prof. David Rand examines what makes people susceptible to believing false or misleading information. Rand and his co-author write that their research “suggests that the solution to politically charged misinformation should involve devoting resources to the spread of accurate information and to training or encouraging people to think more critically.”
Wired reporter Robbie Gonzalez highlights Prof. David Rand’s research showing that reasoning and critical thinking skills allow people to differentiate between real and fake news. Rand explains that he thinks “social media makes it particularly hard, because a lot of the features of social media are designed to encourage non-rational thinking.”
MIT researchers examined why a third of Wikipedia deliberations go unresolved and developed a new tool that could be used to help resolve more discussions, reports Samantha Cole for Motherboard. Cole explains that “the tool uses the data they found and analyzed in this research, to summarize threads and predict when they’re at risk of going stale.”
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.”
Prof. Dean Eckles speaks with Marketplace reporter Sabri Ben-Achour about the significance of engagement among existing users on social media platforms like Snapchat and Facebook. “Are people sharing things their friends are going to want to see?” says Eckles. “How many users on Snap are actually sending new snaps?”
Hiawatha Bray of The Boston Globe writes that fake news articles are destined for the same fate as spam emails thanks to research from MIT postdoc Ramy Baly, who is developing software to flag fake news sites. Baly hopes to “create a consumer news app that would direct users to reliable news sources from every point on the political compass.”
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.”