Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
More than half of all tweets sent by members of the U.S. Congress between March 11 and 21 were related to the coronavirus outbreak.
A 56% majority of Democrats and Democratic-leaning independents who use Twitter describe their political views as liberal or very liberal.
Dennis Quinn, computational social scientist, explains how our analysis of sermons came together and the challenges that arise when religion meets big data.
Using public opinion surveys and large-scale data analysis, we have studied the content on YouTube and how the U.S. public engages with it.
These users make up just 6% of all U.S. adults with public accounts, but they account for 73% of tweets from adults that mention politics.
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.
Machine vision tools like facial recognition are increasingly being used for law enforcement, advertising, and other purposes. Pew Research Center itself recently used a machine vision system to measure the prevalence of men and women in online image search results. This kind of system develops its own rules for identifying men and women after seeing […]
Around one-in-five U.S. adults say they use Twitter. Users tend to be younger and to have more education and higher incomes than adults overall.
The media landscape was upended more than a decade ago when the video-sharing site YouTube was launched. The volume and variety of content posted on the site is staggering. The site’s popularity makes it a launchpad for performers, businesses and commentators on every conceivable subject. And like many platforms in the modern digital ecosystem, YouTube […]