The Many Morals of AI: The cautionary bias of North American news narratives in global perspective

Andrew Piper, Edie Pearman
10/13/2026
cs.CLcs.AI

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Abstract

The stories told about artificial intelligence (AI) play a central role in shaping public understanding, policy debates, and expectations about technological change. News media are especially influential in this process. Using a cross-regional corpus of 12,924 English-language news articles about AI published since 2022, we examine how storytelling about AI varies across media systems in four regions: North America, China, India, and the Middle East. Leveraging large language models, we extract the implicit narrative lessons conveyed by each article---commonly known as story morals---capturing value-laden interpretations that extend beyond thematic content or sentiment. We find that North American AI coverage is uniquely characterized by narratives of caution, while under-emphasizing narratives of innovation and collaboration that are more prevalent elsewhere. However, this pattern is largely explained by a broader regional negativity bias in North American news sentiment, rather than by heightened concern about AI itself. Our findings bring into view the culturally conditioned nature of AI news narratives.

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@article{piper2026many,
  title  = {The Many Morals of AI: The cautionary bias of North American news narratives in global perspective},
  author = {Andrew Piper and Edie Pearman},
  year   = {2026},
  eprint = {2610.18573},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2610.18573v1}
}

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