Introducing the Pew-Knight Initiative
The Pew-Knight Initiative will deliver a comprehensive, real-time look at the information landscape from the standpoints of both consumers and producers of news.
Numbers, Facts and Trends Shaping Your World
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Most East Asian adults say men and women should share financial and caregiving duties
Around eight-in-ten adults in Hong Kong, Japan, South Korea, Taiwan and Vietnam say both men and women should be primarily responsible for earning money.
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How Americans view the conflicts between Russia and Ukraine, Israel and Hamas, and China and Taiwan
74% of Americans view the war between Russia and Ukraine as important to U.S. national interests – with 43% describing it as very important.
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Among young adults without children, men are more likely than women to say they want to be parents someday
Among adults ages 18 to 34, 69% of those who have never been married say they want to get married one day.
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8 facts about Black Americans and the news
76% of Black adults say they at least sometimes get news on TV, compared with 62% of both White and Hispanic adults and 52% of Asian adults.
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Most Americans continue to say their side in politics is losing more often than it is winning
The share of adults who say their side is losing more often than winning is up 15 percentage points since early 2020.
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For Valentine’s Day, facts about marriage and dating in the U.S.
Overall, 69% of Americans say they are married (51%), living with a partner (11%), or otherwise in a committed romantic relationship (8%).
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8 facts about atheists
Around six-in-ten U.S. atheists are men (64%). And seven-in-ten are ages 49 or younger, compared with about half of U.S. adults overall (52%).
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Many Americans find value in getting news on social media, but concerns about inaccuracy have risen
Four-in-ten Americans who get news from social media say inaccuracy is the thing they dislike most about it – an increase of 9 percentage points since 2018.
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Q&A: How we used large language models to identify guests on popular podcasts
We asked researchers how they used the newest generation of large language models to analyze roughly 24,000 podcast episodes.
