Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
Displaying 1-10 of 236 results
U.S. adults give high marks to South Korea and Germany’s pandemic responses. In contrast, most believe China has done an only fair or poor job.
Our response to the pandemic has included the difficult decision to suspend much of our international survey work until further notice.
While the growth of online interviewing is a prominent trend in polling, there is variation within that trend in how researchers recruit respondents. This study finds that sourcing affects data quality.
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.
An exploration of more than 50 Pew Research Center surveys confirms the overwhelming impact party identification has on Americans’ trust in the news media. And divides emerge within party – particularly the Republican Party – based on how strongly people approve of Trump.
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.
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.
