As news outlets morph and multiply, both surveys and passive data collection tools face challenges.
The outbreak has dramatically changed Americans’ lives and relationships over the past year. We asked people to tell us about their experiences – good and bad – in living through this moment in history.
As news outlets morph and multiply, both surveys and passive data collection tools face challenges.
Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
Dennis Quinn, computational social scientist, explains how our analysis of sermons came together and the challenges that arise when religion meets big data.
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?
We explored how Americans feel about the tenor of debate in the country in a recent major survey about U.S. political disource. Here's how we did it.
Probability forecasts have gained prominence in recent years. But these forecasts may confuse potential voters and may even lower the likelihood that they vote.
People in 38 countries were asked how often they use the internet – as well as how often they use social networking sites like Facebook, Twitter and other sites – to get news. Specifically, they were asked whether they did each activity several times a day, once a day, several times a week, once a […]
By Lee Rainie Pew Research Center released a report on Nov. 29 analyzing the 21.7 million comments submitted online during the U.S. Federal Communications Commission’s open public comment period on net neutrality. Fight for the Future has raised concerns about some aspects of our report, two of which point out inaccuracies that do not change […]