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ORIGINAL RESEARCH article

Front. Blockchain
Sec. Blockchain for Good
Volume 7 - 2024 | doi: 10.3389/fbloc.2024.1440355
This article is part of the Research Topic Blockchain in the Age of AI View all articles

Blockchain Solutions for Generative AI Challenges in Journalism

Provisionally accepted
Malin Picha Edwardsson Malin Picha Edwardsson *Walid Al-Saqaf Walid Al-Saqaf
  • Södertörn University, Huddinge, Sweden

The final, formatted version of the article will be published soon.

    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 capacity for 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 Protocolshowing 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 the field of journalism and, by extension, the democratic processes it supports.

    Keywords: Journalism, Blockchain, artificial intelligence, verification, provenance, Generative AI, content authentication, Digital trust

    Received: 29 May 2024; Accepted: 07 Nov 2024.

    Copyright: © 2024 Picha Edwardsson and Al-Saqaf. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Malin Picha Edwardsson, Södertörn University, Huddinge, Sweden

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.