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CODE@MIT Recap: Digital Experiments Yield Real-World Results

By Peter Krass Designing large-scale experiments on digital platforms can be highly technical, but the results often yield practical solutions and fine-tuned data that address social, public policy and business challenges. Among the topics featured at the recent 2024 Conference on Digital Experimentation at MIT (CODE@MIT) were Generative AI for software developers, the monetary value of personal […]

Data Ownership, Privacy Protection Spark New Debates at CODE

By Paula Klein Digital data is at the center of a storm. Online market data, once used primarily by e-commerce sellers and platforms to measure clicks and manage e-commerce traffic, is now a key analytics tool to attract and personalize content to individual consumers and to boost sales and revenue. It’s also a competitive weapon. A panel […]

Online Fact-Checker Labels Work—Even With Those Who Distrust Fact-Checkers

Psychological Underpinnings of Partisan Bias in Tie Formation on Social Media.

Reducing Congestion in Labor Markets: A Case Study in Simple Market Design

The Fiscal Frontier: Projecting AI’s Long-term Impact on the U.S. Fiscal Outlook

Information ‘Debunker’ Chatbot Draws Attention

In a research paper published September 13 in Science, MIT authors Thomas H. Costello [in photo above] and David G. Rand, along with Gordon Pennycook, investigated whether dialogs with a generative artificial intelligence (GenAI) interface could convince people to abandon their conspiratorial beliefs. The team used personalized, in-depth conversations with 2,190 Americans in three sessions with a […]

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