Mapping technological futures: anticipatory discourse through text mining

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dc.abstract.enThe 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.
dc.affiliationInstytut Nauk Humanistycznych
dc.affiliationWydział Nauk Humanistycznych w Warszawie
dc.contributor.authorSkórski, Maciej
dc.contributor.authorLandowska, Alina
dc.contributor.authorRajda, Krzysztof
dc.date.access2025-06-21
dc.date.accessioned2025-11-14T07:56:49Z
dc.date.available2025-11-14T07:56:49Z
dc.date.created2025-06-21
dc.date.issued2025-06-21
dc.description.accesstimeat_publication
dc.description.issue1
dc.description.physical1-15
dc.description.sdgDecentWorkAndEconomicGrowth
dc.description.sdgIndustryInnovationAndInfrastructure
dc.description.sdgPeaceJusticeAndStrongInstitutions
dc.description.versionfinal_published
dc.description.volume12
dc.identifier.doi10.1057/s41599-025-05083-5
dc.identifier.eissn2662-9992
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/1989
dc.identifier.weblinkhttps://www.nature.com/articles/s41599-025-05083-5
dc.languageen
dc.pbn.affiliationjęzykoznawstwo
dc.pbn.affiliationnauki o kulturze i religii
dc.rightsCC-BY-NC-ND
dc.rights.questionYes_rights
dc.share.articleOPEN_JOURNAL
dc.swps.sciencecloudsend
dc.titleMapping technological futures: anticipatory discourse through text mining
dc.title.journalHumanities and Social Sciences Communications
dc.typeJournalArticle
dspace.entity.typeArticle