Charts can be social artifacts that communicate more than just data
Researchers find that design elements of data visualizations influence viewers’ assumptions about the source of the information and its trustworthiness.
Researchers find that design elements of data visualizations influence viewers’ assumptions about the source of the information and its trustworthiness.
By enabling users to easily create social apps that serve communities’ needs, the Graffiti framework aims to promote healthier online interactions.
An analysis of social media in 157 countries finds hotter weather is associated with more negative sentiments.
Four new professors join the Department of Architecture and MIT Media Lab.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
Associate Professor Benjamin Mangrum’s new book explores how we use comedy to cope with the growth of computer technology in modern life.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
The science communicator, video producer, and entrepreneur has built online communities of people who love diving into complex issues.
Researchers have developed a web plug-in to help those looking to protect their mental health make more informed decisions.
In a lecture at MIT, Professor Adam Berinsky surveyed one of the thorniest ongoing problems in modern politics.
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
Research surveys show warnings issued by world leaders are taken equally seriously whether issued on social media or through formal statements.