“A trustworthy press is the immune system of democracy. As a consumer of news, I want news we can trust,” said Craig Newmark. “I’ve worked with a number of foundations and organizations to stand up for trustworthy news media and find ways to spot clickbait and deceptive news, and I’m excited to see how Eyebeam’s unique artist-led approach to the problem will generate results.”
The Journalism R&D program, funded by Craig Newmark Philanthropies, carves out an artist-led approach to confronting challenges inherent in profit-driven networked technology.
Eyebeam is moving the debate on journalism further.
Eyebeam’s inaugural R&D residents, The Initiative for Near Futures, Research, and Art (INFRA) engages in projects, programs, and poetic gestures that support advocates, educators, and others in building new narratives for the future of technology and society.
Surya Mattu and Ingrid Burrington are the inaugural residents for our R&D Program for the Future of Journalism, a new pilot program that takes an artist-led approach to fighting misinformation and fake news funded in part by Craig Newmark Philanthropies.
Eyebeam’s Editorial Producer, Marisa Mazria Katz, led a conversation with INFRA residents, Surya Mattu and Ingrid Burrington, and journalist Serena Danna as part of Creative Time’s public art commission, Basilea. The panel, “The New Story: Creative Practices In Journalism,” will discuss the hybridization of art and journalism. Breaking out of traditional modes of reporting begs the question: How do new artistic and journalistic practices help build networks and communities locally and globally?
Ingrid Burrington writes, makes maps, and tells jokes about places, politics, and the weird feelings people have about both. She’s the author of Networks of New York: An Illustrated Field Guide to Urban Internet Infrastructure and has previously written for The Atlantic, The Nation, and others.
Surya Mattu is an artist, engineer and journalist based in Brooklyn. He is currently the data reporter at Gizmodo Media Group’s Special Projects Desk. Previously, he was a contributing researcher at ProPublica, where he worked on “Machine Bias,” a series that aims to highlight how algorithmic systems can be biased and discriminatory. “Machine Bias” was a Pulitzer Prize finalist for Explanatory Journalism. Mattu was also a fellow at Data & Society.