Numbers, Facts and Trends Shaping Your World
Read our research on:
Around half of U.S. adults who use Facebook say they do not understand why certain posts but not others are included in their news feed. Older users are particularly likely to say they do not understand the workings of the news feed.
Just over half of Facebook users have adjusted privacy settings in the past year. Around four-in-ten have taken a break from checking for several weeks or more.
Large majorities in eight Western European countries trust the military, ranging from 84% in France to 66% in Spain. Similarly, eight-in-ten Americans have confidence in the military.
Thousands of space launches have spawned a massive orbital junkyard. Many Americans are doubtful private companies will keep space clean of debris.
Ahead of the Senateâs deliberations over Kavanaugh, hereâs a look at where the public stands on some of the major legal, political and social issues that could come before the Supreme Court in the years ahead.
This new analysis creates a typology that cuts across denominations, sorting Americans into seven groups, or âclusters,â based on their religious practices and values, their views about religion in general, and the sources of meaning and fulfillment in their lives. Rich Morin, a senior editor at the Center, explains how the study was put together, and discusses the role of cluster analysis in creating the typology.
Most American adults identify with a religion, describing themselves as Protestants, Catholics or Jews, to name just a few examples. But a new Pew Research Center analysis looks at beliefs and behaviors that cut across many religious identities, producing a new and revealing classification, or typology, of religion in America that sorts U.S. adults into seven cohesive groups.
A new analysis looks at beliefs and behaviors that cut across many religious denominations â important traits that unite people of different faiths, or that divide those of the same religious affiliation.
Several posts on this blog have examined unsupervised methods of natural language processing. These algorithms and models can helpâŠ
