Our graphics team creates hundreds of charts, maps and other data visualizations every year. Here are some of our favorite graphics of 2019.
Dennis Quinn, computational social scientist, explains how our analysis of sermons came together and the challenges that arise when religion meets big data.
While survey research in the United States is a year-round undertaking, the public’s focus on polling is never more intense than during the run-up to a presidential election.
In this Q&A and video, learn about the methods and data sources the Center used to estimate the number of unauthorized immigrants in Europe.
While the notion that polls should include equal numbers of Republicans and Democrats makes some sense, it’s based on a misunderstanding of what polling is intended to do.
Researchers are learning more about early political socialization. Emerging techniques to fight misinformation are seeing some success.
Americans overwhelmingly are aware of the upcoming 2020 census, and more than eight-in-ten say they definitely or probably will participate.
This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.
A computer can be trained to predict whether an image shows a man or a woman. Can you identify which parts of the face are most essential to the computer’s decision?
How many U.S. adults use the internet? There are a lot of sources with answers to this question. Yet these different sources can be tricky to reconcile.