AI narratives in fiction and media: Exploring thematic parallels in public discourse

IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Technovation Pub Date : 2025-02-24 DOI:10.1016/j.technovation.2025.103201
Francesco Paolo Appio , Celina Toscano Hernandez , Federico Platania , Francesco Schiavone
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Abstract

The rapid evolution of artificial intelligence (AI) has spurred a complex discourse on its ethical, social, and technological implications. This paper explores the intersection between AI narratives in speculative fiction and media discourse, focusing on how these narratives shape public perceptions and societal engagement with AI. Drawing on data from Technovelgy.com, a science fiction repository, and the GDELT Project, a global media analysis database, this study examines thematic parallels between science fiction-inspired AI narratives and real-world media discussions. By analyzing public sentiment, emotional intensity, and engagement across multiple AI sub-topics, this research highlights the influence of technological narratives on shaping societal views of AI. The findings suggest that AI narratives from speculative fiction significantly inform and reflect societal hopes and concerns, providing critical insights for policymakers, developers, and media professionals to foster responsible AI innovation aligned with ethical and social values.
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小说和媒体中的AI叙事:探索公共话语中的主题相似之处
人工智能(AI)的快速发展引发了关于其伦理、社会和技术影响的复杂讨论。本文探讨了投机小说中人工智能叙事与媒体话语之间的交集,重点关注这些叙事如何塑造公众对人工智能的看法和社会参与。这项研究利用来自科幻小说库Technovelgy.com和全球媒体分析数据库GDELT项目的数据,研究了科幻小说启发的人工智能叙事与现实世界媒体讨论之间的主题相似之处。通过分析多个人工智能子主题的公众情绪、情感强度和参与度,本研究强调了技术叙事对塑造人工智能社会观点的影响。研究结果表明,投机小说中的人工智能叙事显著地传达和反映了社会的希望和担忧,为政策制定者、开发者和媒体专业人士提供了重要的见解,以促进符合道德和社会价值观的负责任的人工智能创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Technovation
Technovation 管理科学-工程:工业
CiteScore
15.10
自引率
11.20%
发文量
208
审稿时长
91 days
期刊介绍: The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.
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