Support for a U.S. TikTok ban continues to decline, and half of adults doubt it will happen
The share of Americans who support the U.S. government banning TikTok now stands at 32%, down from 38% in fall 2023 and 50% in March 2023.
Numbers, Facts and Trends Shaping Your World
Publications
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Korean Americans are much more likely than people in South Korea to be Christian
Korean American adults are much less likely than adults in South Korea to be religiously unaffiliated or to be Buddhist.
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From ‘traditional’ to ‘open-minded,’ how Americans describe themselves
Roughly six-in-ten Republicans (58%) describe themselves as traditional, but just 19% of Democrats say the same.
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The link between local news coverage and Americans’ perceptions of crime
Roughly three-quarters of adults (77%) say they often or sometimes get local news and information about crime.
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Americans’ Experiences With Local Crime News
Most U.S. adults say they are interested in several types of local crime coverage, but far fewer say this information is easy to find.
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Key things to know about U.S. election polling in 2024
Polls are more useful to the public if people have realistic expectations about what surveys can do well – and what they cannot.
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Many around the globe say it’s important their leader stands up for people’s religious beliefs
Adults in Indonesia, Bangladesh and the Philippines are the most likely to say it is important to have a leader who stands up for people with their religious beliefs.
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A majority of U.S. presidents and vice presidents have been relatively close in age
Of the 51 president-vice president pairs, a majority (59%) have been closer than 10 years in age.
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Why Many Parents and Teens Think It’s Harder Being a Teen Today
Is it harder being a teen today? Or do they have it easier than those of past generations? We asked parents and teens who say being a teenager has gotten harder or easier to explain in their own words why they think so.
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How Pew Research Center is – and is not – using large language models in our work
In this post, we’ll share our current guidelines for the internal use of large language models and potential areas of experimentation.
