arXiv：cs.AI· Andrew Piper, Edie Pearman·· 5 小时前
研究：北美 AI 新闻叙事的警示偏向源于整体负面偏好
The Many Morals of AI: The cautionary bias of North American news narratives in global perspective
AI 导读
一项基于 2022 年以来 12,924 篇英文 AI 新闻文章的研究发现，北美 AI 报道独特地以警示性叙事为主，较少强调其他地区更常见的创新与合作叙事。但这一模式主要由北美新闻整体情绪的负面偏向解释，而非对 AI 本身的担忧更强。研究覆盖北美、中国、印度和中东四个地区，利用大语言模型提取文章隐含的叙事教训。
正文
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.
| Comments: | 4 pages, 5 figures |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.18573 [cs.CL] |
| (or arXiv:2610.18573v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.18573 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Edie Pearman [view email]
[v1]
Tue, 13 Oct 2026 15:40:19 UTC (311 KB)
来源：arXiv：cs.AI · arxiv.org