Examining perceived generative AI valence on social media and its implications on generative AI attitudes and uses among young adults. A cross-national comparison

Abstract Purpose The adoption and use of generative AI (GAI) have grown rapidly among young adults around the world. Grounded in technology adoption and attitude-behavior theories, this study investigates how the perceived valence of generative AI on social media shapes young adults’ intentions to use generative AI across four societies while also examining the mediating roles of perceived usefulness and general attitudes. Methodology Cross-national surveys were conducted among individuals aged 18–24 across four societies: Austria, Serbia, Indonesia, and Hong Kong, China ( N = 2,144). Findings A moderated mediation analysis revealed that perceived usefulness and positive attitudes toward generative AI significantly mediated the relationship between perceived valence and use intention, aligning with theoretical expectations. However, the direct relationship between perceived valence and use intention was significant only in Indonesia and Hong Kong, and not in Austria and Serbia. Furthermore, the influence of perceived valence on positive attitudes was stronger in the two Asian societies compared to the European ones. Practical/social implications These findings underscore the potentially critical role of cultural context in shaping young people’s perceptions and adoption of GAI. The results have important implications for the development and promotion of GAI technologies across different societal and cultural settings. Originality/value The cross-national study examines societies that have been under-researched in the literature on GAI attitudes and adoption.

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Publication Details

Journal
Online Media and Global Communication
Published
2026-02-03
DOI
https://doi.org/10.1515/omgc-2025-0033
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
52.10
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article

Examining perceived generative AI valence on social media and its implications on generative AI attitudes and uses among young adults. A cross-national comparison

Michael Chan, Ljubiša Bojić, Jörg Matthes
1 citations
Online Media and Global Communication
AI in Service Interactions
52.10
article

Examining perceived generative AI valence on social media and its implications on generative AI attitudes and uses among young adults. A cross-national comparison

Michael Chan, Ljubiša Bojić, Jörg Matthes
article en
1 citations

Abstract

Abstract Purpose The adoption and use of generative AI (GAI) have grown rapidly among young adults around the world. Grounded in technology adoption and attitude-behavior theories, this study investigates how the perceived valence of generative AI on social media shapes young adults’ intentions to use generative AI across four societies while also examining the mediating roles of perceived usefulness and general attitudes. Methodology Cross-national surveys were conducted among individuals aged 18–24 across four societies: Austria, Serbia, Indonesia, and Hong Kong, China ( N = 2,144). Findings A moderated mediation analysis revealed that perceived usefulness and positive attitudes toward generative AI significantly mediated the relationship between perceived valence and use intention, aligning with theoretical expectations. However, the direct relationship between perceived valence and use intention was significant only in Indonesia and Hong Kong, and not in Austria and Serbia. Furthermore, the influence of perceived valence on positive attitudes was stronger in the two Asian societies compared to the European ones. Practical/social implications These findings underscore the potentially critical role of cultural context in shaping young people’s perceptions and adoption of GAI. The results have important implications for the development and promotion of GAI technologies across different societal and cultural settings. Originality/value The cross-national study examines societies that have been under-researched in the literature on GAI attitudes and adoption.

Online Media and Global Communication
University of Vienna (AT), Chinese University of Hong Kong (HK), University of Belgrade (RS)
Reduced inequalities
Openalex Percentile: Top 1%
AI in Service Interactions
52.10
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