Disappointment or hype? Framing artificial intelligence in the US elite news media
How do elite US news outlets frame AI within accounts of hype, disappointment and tempered expectation? This study finds that rather than fueling hype, coverage tends to adopt a cautious tone – emphasizing everyday uses and current impacts over speculative futures. A content analysis of three high-profile US dailies shows more positive tones when only developers or vendors discuss their own AI tools. The findings underscore journalists’ important role in contextualizing and balancing biased narratives and will be a valuable contribution for academics, journalists and policymakers seeking to understand hype, disappointment and expectation dynamics in technology discourse and their broader social implications.
Authors
- Dennis Nguyen (ORCID: https://orcid.org/0000-0001-6982-775X)
- Lilla Vicsek (ORCID: https://orcid.org/0000-0002-6034-7503)
- Katalin Feher
Institutions
- Ludovika University of Public Service (HU)
- Corvinus University of Budapest (HU)
- Utrecht University (NL)
Publication Details
- Journal
- Global Media and Communication
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1177/17427665251411490
- Primary Topic
- Media Studies and Communication
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research, Development and Innovation Office