Measuring News Consumption in a Digital Era
As news outlets morph and multiply, both surveys and passive data collection tools face challenges.
Measuring News Consumption in a Digital Era
As news outlets morph and multiply, both surveys and passive data collection tools face challenges.
What is machine learning, and how does it work?
Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
In Changing U.S. Electorate, Race and Education Remain Stark Dividing Lines
The gender gap in party identification remains the widest in a quarter century.
Q&A: Why we studied American sermons and how we did it
Dennis Quinn, computational social scientist, explains how our analysis of sermons came together and the challenges that arise when religion meets big data.
The Digital Pulpit: A Nationwide Analysis of Online Sermons
This Pew Research Center analysis harnesses computational techniques to identify, collect and analyze the sermons that U.S. churches livestream or share on their websites each week.
The challenges of using machine learning to identify gender in images
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.
How does a computer ‘see’ gender?
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 we examined public attitudes about the tone of U.S. political debate
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.
Use of election forecasts in campaign coverage can confuse voters and may lower turnout
Probability forecasts have gained prominence in recent years. But these forecasts may confuse potential voters and may even lower the likelihood that they vote.
Our Response to Concerns Raised About Our Analysis of the FCC’s Net Neutrality Public Comments
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 […]
