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

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  • Appio, Francesco Paolo
  • Hernandez, Celina Toscano
  • Platania, Federico
  • Schiavone, Francesco

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.

Suggested Citation

  • Appio, Francesco Paolo & Hernandez, Celina Toscano & Platania, Federico & Schiavone, Francesco, 2025. "AI narratives in fiction and media: Exploring thematic parallels in public discourse," Technovation, Elsevier, vol. 142(C).
  • Handle: RePEc:eee:techno:v:142:y:2025:i:c:s0166497225000331
    DOI: 10.1016/j.technovation.2025.103201
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    References listed on IDEAS

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    1. Fengcai Qiao & Pei Li & Xin Zhang & Zhaoyun Ding & Jiajun Cheng & Hui Wang, 2017. "Predicting Social Unrest Events with Hidden Markov Models Using GDELT," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-13, May.
    2. Messeni Petruzzelli, Antonio & Mora, Luca & Natalicchio, Angelo & Platania, Federico & Toscano Hernandez, Celina, 2024. "Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis," Technovation, Elsevier, vol. 132(C).
    3. Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
    4. Nasir, Osama & Javed, Rana Tallal & Gupta, Shivam & Vinuesa, Ricardo & Qadir, Junaid, 2023. "Artificial intelligence and sustainable development goals nexus via four vantage points," Technology in Society, Elsevier, vol. 72(C).
    5. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Saura, Jose Ramon & Palacios-Marqués, Daniel & Ribeiro-Soriano, Domingo, 2023. "Exploring the boundaries of open innovation: Evidence from social media mining," Technovation, Elsevier, vol. 119(C).
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