Exploring Public Attitudes Toward Generative AI for News Across Four Countries

As generative artificial intelligence increasingly permeates most life domains, studying how the public perceives, uses, and understands AI-driven tools becomes crucial. Especially relying on generative AI for news seeking, information acquisition, and political opinion formation warrants attention from a democratic point of view. Therefore, we conduct a standardized survey of public assessments toward GenAI for news-related purposes, its adoption by news organizations, and how these attitudes relate to a series of individual-level characteristics across four countries (CH, DE, JP, US). Our findings indicate that audiences do not (yet) extensively use GenAI for news-related purposes and possess relatively limited AI knowledge despite acknowledging various risks and benefits. Cross-nationally, trust in the journalistic deployment of AI-powered tools is relatively low. However, assessments vary depending on individual-level characteristics and macro-level contexts. We conclude by discussing our findings' implications for building and maintaining trust between journalism and its audience.

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Publication Details

Journal
Journal of Quantitative Description Digital Media
Published
2025-08-04
DOI
https://doi.org/10.51685/jqd.2025.012
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring Public Attitudes Toward Generative AI for News Across Four Countries

Aleksandra Urman, Edina Strikovic, Eliza Mitova, Frank Esser et al.
Journal of Quantitative Description Digital Media
Misinformation and Its Impacts
article

Exploring Public Attitudes Toward Generative AI for News Across Four Countries

Aleksandra Urman, Edina Strikovic, Eliza Mitova, Frank Esser, Anikó Hannák, Claes H. de Vreese, Sina Blassnig
article en

Abstract

As generative artificial intelligence increasingly permeates most life domains, studying how the public perceives, uses, and understands AI-driven tools becomes crucial. Especially relying on generative AI for news seeking, information acquisition, and political opinion formation warrants attention from a democratic point of view. Therefore, we conduct a standardized survey of public assessments toward GenAI for news-related purposes, its adoption by news organizations, and how these attitudes relate to a series of individual-level characteristics across four countries (CH, DE, JP, US). Our findings indicate that audiences do not (yet) extensively use GenAI for news-related purposes and possess relatively limited AI knowledge despite acknowledging various risks and benefits. Cross-nationally, trust in the journalistic deployment of AI-powered tools is relatively low. However, assessments vary depending on individual-level characteristics and macro-level contexts. We conclude by discussing our findings' implications for building and maintaining trust between journalism and its audience.

Journal of Quantitative Description Digital MediaVol. 5
University of Zurich (CH), University of Applied Sciences of the Grisons (CH), University of Amsterdam (NL)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 74%
Misinformation and Its Impacts
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