{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T14:35:27Z","timestamp":1793111727058,"version":"4.5.0"},"reference-count":46,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011785","name":"Science and Technology Department of Guangxi Zhuang Autonomous Region","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Generative artificial intelligence is reshaping news production, yet how journalism students evaluate AI-generated content and whether cultural-psychological factors systematically shape these evaluations remain poorly understood, particularly in non-Western contexts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study employed a 2 (Country: China\/Vietnam) \u00d7 2 (Author Type: AI\/Human) \u00d7 4 (Topic: Nature\/Health\/Society\/Finance) mixed-design ANOVA with 140 journalism and communication students under blind conditions. Participants evaluated news quality across seven dimensions without knowing whether articles were AI-generated or human-written.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>AI-generated news received significantly higher overall ratings than human-written news. This advantage was not uniform: a significant Country \u00d7 Authorship interaction indicated that Chinese participants showed a substantially larger preference for AI-generated news than Vietnamese participants, whose evaluations of the two content types did not differ significantly; a significant Authorship \u00d7 Topic interaction indicated that the AI advantage was more pronounced for Nature and Society news than for Health and Finance news; and the three-way interaction was not significant. AI-generated news outperformed human-written news specifically on structural dimensions (perceived headline relevance, coverage adequacy, readability, and punctuation and sentence structure) but not on perceived factual accuracy or source usage. Gender predicted evaluations of both news types without a significant authorship-specific asymmetry, whereas news interest and news trust predicted evaluations of human-written news more strongly than AI-generated news, a pattern confirmed by direct interaction tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>These patterns are discussed in relation to culturally grounded orientations toward institutional authority and technology, including the authority heuristic and techno-optimism, although these constructs were inferred from country-level cultural indices rather than directly measured among individual participants. A post hoc textual analysis found that AI-generated articles were not lexically less diverse than human-written articles, which complicates homogenization-based accounts of the cross-national convergence observed in AI-generated news evaluations. These findings extend cross-cultural psychology by illustrating both the promise and the limits of using country as a proxy for culturally embedded psychological constructs in research on AI-generated content.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyg.2026.1886638","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T04:51:28Z","timestamp":1790139088000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Perceived quality of AI-generated and human-written news: a cross-national experimental study among journalism students in China and Vietnam"],"prefix":"10.3389","volume":"17","author":[{"given":"Mingyi","family":"Yang","sequence":"first","affiliation":[{"name":"School of Journalism and Communication, Guangxi University","place":["Nanning, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqi","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Journalism and Communication, Guangxi University","place":["Nanning, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Journalism and Communication, Guangxi University","place":["Nanning, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,23]]},"reference":[{"key":"B1","first-page":"1","article-title":"AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural nuances","volume-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI \u201925)","author":"Agarwal","year":"2025"},{"key":"B2","first-page":"413","article-title":"Homogenization Effects of Large Language Models on Human Creative Ideation","volume-title":"Proceedings of the 16th Conference on Creativity and Cognition (C&amp;C \u201924)","author":"Anderson","year":"2024"},{"key":"B3","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/P16-1178","article-title":"Linguistic Benchmarks of Online News Article Quality","volume-title":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics","author":"Arapakis","year":"2016"},{"key":"B4","first-page":"6222","article-title":"Humans vs. AI: The role of trust, political attitudes, and individual characteristics on perceptions about automated decision making across Europe.","volume":"17","author":"Araujo","year":"2023","journal-title":"Intern. 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