Can AI Stand In for Human Survey-Takers? Not Really
Synthetic surveys using digital twins do a poor job estimating the public mood and are especially error-prone for some subgroups, including Republicans and Black adults.
Numbers, Facts and Trends Shaping Your World
Synthetic surveys using digital twins do a poor job estimating the public mood and are especially error-prone for some subgroups, including Republicans and Black adults.
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With so many respondents taking Web surveys on smartphones, creating surveys with smartphone respondents in mind is critical.
The uneasy ceasefire in eastern Ukraine, punctuated by almost daily fighting between separatists and government forces, posed a major challenge to the Pew Research Center as we set about conducting a new public opinion survey in that country this past spring. As always, our first priority was the safety of interviewers and respondents, who can both be at risk when it comes to face-to-face surveys in a conflict zone.
In early 2014, Pew Research Center set out to build a probability-based panel – the American Trends Panel – to supplement our traditional method of data collection in the U.S. – the random digit dial (RDD) telephone survey. Here’s how we built and managed the panel, and what we learned from it in 2014.
While survey research in the United States is a year-round undertaking, the public’s focus on polling is never more intense than during the run-up to a presidential election.
Pew Research Center conducted a study to compare the accuracy of six online surveys of U.S. adults – three from probability-based panels and three from opt-in sources. On average, the absolute error on opt-in samples was about twice that of probability-based panels.
Members of the American Trends Panel can now take our surveys online or over the phone with an interviewer.
A new study found that 61% of national pollsters used different methods in 2022 than in 2016. And last year, 17% of pollsters used multiple methods to sample or interview people – up from 2% in 2016.