Building Trustworthy AI
To understand how AI can effectively promote computer science learning, we first need to learn about what influences perceptions of AI trustworthiness.
By John Voiklis et al. •
Mar 14, 2025
Numbers in the News
In this series, we’re looking into whether different ways of reporting on numbers improves either public understanding of statistics or judgments of news credibility
By Jena Barchas-Lichtenstein et al. •
May 28, 2020
How Many is a "Large" Group? Interpreting Ambiguous Quantitative Statements
This post expands the Numbers in the News series by highlighting how people make sense of quantification without numbers.
By Bennett Attaway et al. •
Jul 27, 2022
Number Soup: Behind the Research
In this edition of our “Behind the Research” series, we discuss the methods and analytical tools used to collect, process, and interpret the data that served as the basis for “Number Soup: Case Studies of Quantitatively Dense News”—a study undertaken jointly with researchers at PBS NewsHour.
By Jena Barchas-Lichtenstein et al. •
Sep 16, 2022