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Blockchain solutions for generative AI challenges in journalism
Södertörn University, School of Social Sciences, Journalism.ORCID iD: 0000-0002-3017-3813
Södertörn University, School of Social Sciences, Journalism. Doha Institute for Graduate Studies, Qatar.ORCID iD: 0000-0002-1993-5696
2024 (English)In: Frontiers in Blockchain, ISSN 2624-7852, Vol. 7, article id 1440355Article in journal (Refereed) Published
Abstract [en]

This study aims to identify and assess AI and blockchain solutions in relation to journalistic authenticity and integrity. Central to our exploration is the role of blockchain technology in verifying content provenance. As a key component of a global Web3 framework, blockchain could offer a foundation for authenticating the origins of content. In this article, we explore how blockchain, with its capacityfor creating immutable and cryptographically signed data records, could be applied by journalists to verify photos, videos and documents. Our analysis identified nine blockchain-based solutions for content verification, with three platforms–Attestiv, OriginStamp, and Fact Protocol–showing particular promise for journalistic workflows. We conclude that while AI and blockchain solutions are currently available to journalists today, they require high-level technical expertise. Many media companies are now venturing into this field as well, thus affecting the professional role of journalists in general. In our study, it is evident that integrating AI and blockchain in journalism is not merely about adopting new tools but also about understanding their broader implications for journalism as a profession and the convergence in society. The focus must remain on enhancing journalistic integrity and public trust to ensure that these technological advances benefit thefield of journalism and, by extension, the democratic processes it supports.

Place, publisher, year, edition, pages
London: Frontiers Media S.A., 2024. Vol. 7, article id 1440355
Keywords [en]
journalism, blockchain, artificial intelligence, verification, provenance, generative AI, content authentication, digital trust
National Category
Media and Communication Studies
Research subject
Digital transformations
Identifiers
URN: urn:nbn:se:sh:diva-55777DOI: 10.3389/fbloc.2024.1440355ISI: 001375169800001Scopus ID: 2-s2.0-85211598949OAI: oai:DiVA.org:sh-55777DiVA, id: diva2:1917634
Available from: 2024-12-03 Created: 2024-12-03 Last updated: 2025-02-11Bibliographically approved

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Picha Edwardsson, MalinAl-Saqaf, Walid

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CiteExportLink to record
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Citation style
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  • de-DE
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