Methods 101: What is machine learning, and how does it work?
We explain the basics of machine learning – using computer programs to identify patterns in data – and how it allows researchers at the Center to analyze data on a large scale.
We explain the basics of machine learning – using computer programs to identify patterns in data – and how it allows researchers at the Center to analyze data on a large scale.
A new Pew Research Center analysis estimates that at least 3.9 million unauthorized immigrants – and possibly as many as 4.8 million – lived in Europe in 2017. Learn how we conducted the first comprehensive estimate of Europe's unauthorized immigrant population in over a decade.
Latinos as percent of population, by state, 2014
Recent events – including the 2016 presidential election and Brexit – have rattled public confidence in polls. But this video explains why well-designed polls can still be trusted and remain an important way to measure public opinion.
The Pew Research Center set out to better understand how many of the links being shared on Twitter are being promoted by bots rather than humans. Our analysis found that an estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings.
The second video in Pew Research Center's Methods 101 series helps explain question wording – a concept at the center of sound public opinion survey research – and why it’s important.
Science-related Facebook pages draw millions of followers but feature more posts with ‘news you can use’ or ads than scientific discoveries
Americans agree that certain behaviors constitute online harassment, but they are more divided on others.
The first video in Pew Research Center’s Methods 101 series helps explain random sampling – a concept that lies at the heart of all probability-based survey research – and why it’s important.
See where you are in the distribution of adults in the United Kingdom by income tier.