Digital twin synthetic surveys performed poorly at estimating public sentiment overall and were especially error‑prone for some subgroups, notably Republicans and Black adults, calling into question AI stand‑ins for human survey‑takers.
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Global polling by Pew finds 64% of Americans in 2026 say social media harms democracy, with public attitudes in many other countries becoming markedly more negative compared with earlier years.
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Synthetic survey responses did not match real public opinion on timely early‑2026 topics, showing large errors on presidential approval and attitudes toward data centres, indicating digital twins poorly capture current public mood on topical questions.
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Globally, growing majorities say social media harms democracy by fostering manipulation and division, even as many also report it informs people and gives individuals a political voice, according to Pew Research Center’s global polling analysis.
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Synthetic poll respondents were likelier than humans to converge on a single answer or skip response options, indicating reduced diversity and response variability in AI‑generated survey data versus human respondents.
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Synthetic samples tended to overstate differences between demographic groups and presented some answers as nearly universal, implying digital twin approaches can distort subgroup estimates and population distributions.
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Registered US voters prefer Democrats over Republicans for the House by 44% to 36% in the 2026 midterms; the dataset breaks preferences down by race, ethnicity, age and other demographics as part of a broader midterm analysis.
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White evangelical Protestants and White Catholics in the US prefer Republican candidates for the 2026 midterms, while other religious groups are either split or lean Democratic, signalling wide variation in partisan alignment by faith.
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A national Australian survey finds around 80% of adults back restricting children’s access to social media, including 51% who strongly support such limits.
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Since 2015 the share of US adults who say they use cash for all or almost all weekly purchases has fallen from 24% to 12%, signalling a marked shift toward non-cash payment methods over the past decade.
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AI‑generated survey respondents were much less likely than humans to choose “not sure” and far less likely to give factually incorrect answers, suggesting synthetic respondents express higher certainty and apparent factual knowledge.
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Appendix material defining who counts as part of an online community, supplied as supplementary documentation to a Pew Research Center study of online community membership and behaviours.
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Public dissatisfaction and low presidential approval accompany the 2026 US midterms, with Democratic voters showing higher engagement and turnout intention amid a generally sour national mood.
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Analysis of US party identification finds many people do not call themselves Republicans or Democrats, instead identifying as independents or other labels, though a substantial share report ‘leaning’ toward a major party.
Global data on social media platform use shows Facebook typically remains the most-used platform worldwide, followed by Instagram, with lower overall penetration for TikTok, X and Snapchat.
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Lists the report’s authors and editorial leads: Luis Noé‑Bustamante, Mark Hugo Lopez, Carolyne Im, Gabriel Piña and Joseph Copeland, with editorial guidance from Sahana Mukherjee and Jocelyn Kiley.
A weekly digest compiles the Pew Research Center’s latest religion and public life work, covering recent studies and media mentions on topics from legal battles over abortion access to cultural trends such as astrology gatherings in the US.
Finds that urban, suburban and rural Americans participate in public life at broadly similar overall rates, but differ in the specific civic activities they undertake, with variation across community types in how they engage.
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Appendix A provides the detailed tables supporting Pew’s report findings, with disaggregated data and statistical breakdowns underlying the main analyses.
A practical guide for nonprofit communicators on treating AI systems as audiences, summarising key takeaways from a ComNet 2026 session and linking to Pew’s broader research on American attitudes to AI and its role as an intermediary.
A monthly Pew digest summarises recent internet, science and technology research, noting items like phone‑use concerns, supplement use, and attitudes among young Americans across the Centre’s latest studies.
Provides additional charts accompanying the main Pew report; the appendix offers further graphical breakdowns and supplementary data visualisations (no blurb supplied).
Sets out Pew Research Center’s current internal guidelines for using artificial intelligence and identifies areas the organisation may experiment with, explaining what AI will and will not be used for in its work.
Weekly roundup of Pew Research Center findings, including data on payment preferences: just 16% of Americans say they prefer cash for in-person payments, with the remainder favouring cards or other methods.
Across 12 surveyed countries, a median 43% say they trust China to effectively regulate AI, compared with 35% for the United States and 34% for the European Union, according to Pew Research Center polling.
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Skydance’s CEO said CNN will retain editorial independence following Paramount’s merger with Warner Bros. Discovery and related industry consolidation, addressed in the Briefing newsletter on media sector developments.
Pew Research Center finds Americans’ feelings toward China have warmed since 2021 but remain largely negative, with pronounced partisan and generational divides shaping attitudes.
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Pew’s survey of 41,113 adults across 37 countries finds that concerns about AI’s growth and economic effects are more common in high-income countries than in middle-income nations.
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Public opinion in the US toward data centres has become more negative since January, while a substantial share of Americans remain unfamiliar or uncertain about what data centres are and how they affect communities and the environment.
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A 37‑country Pew Research Center survey finds more respondents expect AI to cause job losses than to create net job growth, expressing both concern and excitement and reporting pessimism about AI’s likely effect on economic inequality.
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