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Newly published research shows that a focus on sharing can make it harder for social media users to tell whether content is accurate.
An MIT-led study reveals a core tension between the impulse to share news and to think about whether it is true.
Does using text-to-image models like Stable Diffusion in the creative process affect what people make in the physical world?
Critics, practitioners, and researchers like Human Dynamics PhD student Ziv Epstein talk about AI-generated art..
Ziv Epstein talks about his latest research project, which will attempt to "map the networks of cooperation and serendipity at Burning Man."
New research shows that detecting digital fakes generated by machine learning might be a job best done with humans still in the loop.
Digital literacy helps people identify misinformation — but it doesn’t necessarily stop them from spreading it.
(AI)-powered media manipulations have widespread societal implications for journalism and democracy, national security, and art.
Americans who share fake news on social media might not lack media literacy skills. Chances are they don’t stop to check accuracy.
New research shows that subtly nudging people to think about accuracy increases the quality of the news they share
Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.
MIT Sloan School of Management looks at the technology, risks, and possible use cases for artificial intelligence-generated synthetic media
Artificial intelligence can create millions of artificial species no one has ever seen.
What our experiment in the desert taught us about social networks and human cooperation.
Congratulations to all who graduated during the 2018-2019 academic year!
Visualizing Scissors Congruence was selected as one of the Experts' Choice Winners in the 2018 Visualization Challenge (the Vizzies).