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How ChatGPT changed the media’s narratives on AI: a semi-automated narrative analysis through frame semantics
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4466-1567
Department of Government, Uppsala University, Uppsala, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-8503-0118
2025 (English)In: Minds and Machines, ISSN 0924-6495, E-ISSN 1572-8641, Vol. 35, no 1, article id 2Article in journal (Refereed) Published
Abstract [en]

We perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 sentences collected from 5846 news articles that mention AI. The dataset covers the twelve-month period centred around the launch of OpenAI’s chatbot ChatGPT and is collected from the most visited open-access English-language news publishers. Our findings indicate that during the six months succeeding the launch, media attention rose tenfold—from already historically high levels. During this period, discourse has become increasingly centred around experts and political leaders, and AI has become more closely associated with dangers and risks. A deeper review of the data also suggests a qualitative shift in the types of threat AI is thought to represent, as well as the anthropomorphic qualities ascribed to it.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 35, no 1, article id 2
Keywords [en]
AI, ChatGPT, LLM, Media, Narrative analysis, OpenAI
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-232284DOI: 10.1007/s11023-024-09705-wISI: 001361209500001Scopus ID: 2-s2.0-85209724555OAI: oai:DiVA.org:umu-232284DiVA, id: diva2:1916704
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Marianne and Marcus Wallenberg FoundationAvailable from: 2024-11-28 Created: 2024-11-28 Last updated: 2025-04-24Bibliographically approved

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Ryazanov, IgorBjörklund, Johanna

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