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.
Amy Mitchell (Pew Research Center), Philip Howard (University of Oxford), Jane Lytvynenko (Buzzfeed News) and Lori Robertson (Factcheck.org) discuss misinformation during the coronavirus outbreak, and ahead of the 2020 presidential election, as part of SXSW 2020’s virtual sessions.
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.
Polling in different parts of the world can be very challenging, because what works in one country may not work in a different country.
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.
This video offers a look inside the beliefs and attitudes of Muslims in America; it features data from Pew Research Center’s 2017 survey, as well as the personal stories of Muslims from across the United States.
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.
In this short video, Pew Research Center researchers explain how they overcame these obstacles to produce the Center’s wide-ranging new survey of 1,001 American Muslims.
TOPIC
FORMAT
AUTHOR
RESEARCH AREA
Copyright 2024 Pew Research Center