Mapping technological futures: anticipatory discourse through text mining

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Authors
Skórski, Maciej
Landowska, Alina
Rajda, Krzysztof
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Date
2025-06-21
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Humanities and Social Sciences Communications
Issue
1
Volume
12
Pages
Pages
1-15
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https://www.nature.com/articles/s41599-025-05083-5
Access date
2025-06-21
Abstract PL
Abstract EN
The volatility and unpredictability of emerging technologies, such as artificial intelligence (AI), generate significant uncertainty, which is widely discussed on social media. This study examines anticipatory discourse surrounding technological futures by analysing 1.5 million posts from 400 key opinion leaders (KOLs) published on the X platform (2021–2023). Using advanced text mining techniques, including BERTopic modelling, sentiment, emotion, and attitude analyses, the research identifies 100 distinct topics reflecting anticipated tech-driven futures. Our findings emphasise the dual role of KOLs in framing present futures-optimistic visions of transformative technologies like AI and IoT-and influencing future presents, where these projections shape contemporary societal and geopolitical debates. Positive emotions such as Hope dominate, outweighing Anxiety, particularly in topics like “Machine Learning, Data Science, and Deep Learning,” while discussions around “Climate Change” and “War, Ukraine, and Trump People” elicit Anxiety. By framing technologies as solutions to societal challenges, KOLs act as mediators of societal narratives, bridging imagined futures and current realities. These insights underscore their pivotal role in directing public attention with emerging technologies during periods of heightened uncertainty, advancing our understanding of anticipatory discourse in technology-mediated contexts.
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Sustainable Development Goals
SDG 8. Decent Work and Economic Growth ,
SDG 9. Industry, innovation and infrastructure ,
SDG 16. Peace, Justice and Strong Institutions
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https://share.swps.edu.pl/handle/swps/1989
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cc-by-nc-nd
Except as otherwise noted, this item is licensed under the Attribution-NonCommercial-NoDerivatives licence | Permitted use of copyrighted works
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