讲好人工智能故事--当代网络科学新闻的微型叙事模式

IF 2.1 2区 文学 Q2 COMMUNICATION Discourse & Communication Pub Date : 2024-07-26 DOI:10.1177/17504813241266903
Katarzyna Molek-Kozakowska
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引用次数: 0

摘要

本研究探讨了在网络科学新闻中将人工智能作为一种革命性但有争议的技术来介绍时所使用的一系列话语模式。研究使用了《新科学家》、《自然》杂志每日简报和《科学美国人》杂志最近百余篇微型叙事的三角数据集,重建了研究、商业和社会等主题领域的典型故事情节,并描绘了它们的叙事轨迹(乌托邦式、歇斯底里式)。定性分析使用代理、情感、观点和新闻价值等类别来捕捉这些媒体对人工智能技术不断发展的社会技术想象的贡献。精英商业科学新闻在承认人工智能技术存在一定风险的同时,也强调了人工智能带来的好处,并赞美了人工智能带来的科学进步。此外,人工智能技术的传播策略也是为了增加新闻价值,在故事情节中采用不同的复杂手法,情绪起伏不定,并注重影响和新颖性。这往往会让新闻接受者接受不可避免的技术进步,并将算法规范化,使其成为越来越独立的研究执行主体。
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Story-ing AI – mini-narrative patterns of contemporary online science journalism
This study explores the range of discursive patterns used to present artificial intelligence as a revolutionary but controversial technology in online science journalism. It uses a triangulated dataset of over a hundred recent mini-narratives sourced from New Scientist, Nature daily briefings, and Scientific American to reconstruct typical storylines in the thematic domains of research, business, and society, and to map their narrative trajectories (utopian, dystopian). The qualitative analysis uses the categories of agency, sentiment, point of view, and news value to capture these outlets’ contributions to the evolving sociotechnical imaginary of AI technologies. While acknowledging some risks of AI technologies, elite commercial science journalism highlights the benefits and celebrates the scientific advancements produced with or by AI. Also, AI technologies are communicated strategically to increase newsworthiness, through diverse complications in storylines with oscillating sentiments and a focus on impacts and novelty. This tends to prime news recipients to accept the inevitable technological progress and normalizes algorithms as increasingly independent research-performing agents.
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来源期刊
Discourse & Communication
Discourse & Communication COMMUNICATION-
CiteScore
3.30
自引率
5.30%
发文量
41
期刊介绍: Discourse & Communication is an international, peer-reviewed journal that publishes articles that pay specific attention to the qualitative, discourse analytical approach to issues in communication research. Besides the classical social scientific methods in communication research, such as content analysis and frame analysis, a more explicit study of the structures of discourse (text, talk, images or multimedia messages) allows unprecedented empirical insights into the many phenomena of communication. Since contemporary discourse study is not limited to the account of "texts" or "conversation" alone, but has extended its field to the study of the cognitive, interactional, social, cultural.
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