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  Sociotechnical imaginaries and public communication: Analytical framework and empirical illustration using the case of artificial intelligence

Brause, S. R., Schäfer, M. S., Katzenbach, C., Mao, Y., Richter, V., & Zeng, J. (2025). Sociotechnical imaginaries and public communication: Analytical framework and empirical illustration using the case of artificial intelligence. Convergence. doi:10.1177/13548565251338192.

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brause-et-al-2025-sociotechnical-imaginaries-and-public-communication-analytical-framework-and-empirical-illustration.pdf
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Brause, Saba Rebeccy, Author
Schäfer, Mike S., Author
Katzenbach, Christian, Author
Mao, Yishu1, Author           
Richter, Vanessa, Author
Zeng, Jing, Author
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1Lise Meitner Research Group China in the Global System of Science, Max Planck Institute for the History of Science, Max Planck Society, ou_3194853              

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 Abstract: The concept of sociotechnical imaginaries (SIs) has been widely used and proven fruitful to understand diverging trajectories of technologies. While scholars have acknowledged the multi-layered materialisation of SIs and highlighted the importance of the communicative layer therein, this aspect has remained under-conceptualised. Therefore, we propose an analytical framework to better understand Sociotechnical Imaginaries in Public Communication (SIPCs), defined as publicly constructed visions of (un)desirable sociotechnical futures that guide action, mobilise resources and lay out trajectories for the materialisation or prevention of those futures. In this article, we first discuss relevant strands of research on SIs and public communication. We then lay out the analytical framework of SIPCs that enables the rigorous reconstruction and comparison of sociotechnical imaginaries in public and mediated communication. Finally, we illustrate the framework with examples from public communication about artificial intelligence, an emerging key technology in contemporary societies.

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Language(s): eng - English
 Dates: 2025-04-28
 Publication Status: Published online
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 Identifiers: DOI: 10.1177/13548565251338192
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Title: Convergence
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1354-8565