Disappointment or hype? Framing artificial intelligence in the US elite news media

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Abstract

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.

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APA

Vicsek, L., Feher, K., & Nguyen, D. (2026). Disappointment or hype? Framing artificial intelligence in the US elite news media. Global Media and Communication, 22(1), 71–94. https://doi.org/10.1177/17427665251411490

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