Systems scientists find clues to why false news snowballs on social media
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
In spreading politics, videos may not be much more persuasive than their text-based counterparts.
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
Experiment with Facebook-flagged content shows groups of laypeople reliably rate stories as effectively as fact-checkers do.
The lab’s artists and technology scholars are exploring representation and reality — and shaping the future of storytelling.
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Large-scale video campaign allowed physicians and public health messengers to encourage staying home over the 2020 holidays.
Entrepreneurship class MAS.664 launches businesses with a global reach.
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
Professor Siqi Zheng promotes sustainable urbanization at MIT’s Center for Real Estate.
Built at MIT Lincoln Laboratory, the RIO program automatically detects and analyzes social media accounts that spread disinformation across a network.
Yes, in some ways. A new study shows Twitter users post even more misinformation after other users correct them.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
Blade Kotelly is a senior lecturer on design thinking and innovation, bringing expertise to the world's top brands to better innovate in complex product and service environments.
Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.